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ORCIDCoRR, May 2024
- Yordan Kalmukov
:
Experimental Evaluation of the PHP's cURL Library Performance. - Suayb S. Arslan, James Peng, Turguy Goker:
TALICS3: Tape Library Cloud Storage System Simulator. - Ayush Thakur, Sanskar Chauhan, Ilisha Tomar, Vaibhavi Paul, Deepak Gupta:
Self-healing Nodes with Adaptive Data-Sharding. - Narges Mehran, Dragi Kimovski, Hermann Hellwagner, Dumitru Roman, Ahmet Soylu, Radu Prodan:
Scheduling of Distributed Applications on the Computing Continuum: A Survey. - Salar Farahmand-Tabar, Tarik A. Rashid:
Steel Plate Fault Detection using the Fitness Dependent Optimizer and Neural Networks. - Osama A. Marzouk:
Cantera-Based Python Computer Program for Solving Steam Power Cycles with Superheating. - Serena Nicolazzo, Antonino Nocera, Witold Pedrycz:
Service Level Agreements and Security SLA: A Comprehensive Survey. - Paula Fraga-Lamas, Tiago M. Fernández-Caramés, Óscar Blanco-Novoa, Miguel Vilar-Montesinos:
A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard. - Matthias Birner, Patrick Diehl, Robert Lipton, Marc Alexander Schweitzer:
A Multiscale Fracture Model using Peridynamic Enrichment of Finite Elements within an Adaptive Partition of Unity: Experimental Validation. - Alexander Kanitz, Matthew H. McLoughlin, Liam Beckman, Venkat S. Malladi, Kyle Ellrott:
The GA4GH Task Execution API: Enabling Easy Multi Cloud Task Execution. - Alexander Strack, Christopher Taylor, Patrick Diehl, Dirk Pflüger:
Experiences Porting Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study. - Patrick Diehl, Steven R. Brandt, Gregor Daiß, Hartmut Kaiser:
HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application. - Louis Leconte, Matthieu Jonckheere, Sergey Samsonov, Eric Moulines:
Queuing dynamics of asynchronous Federated Learning. - Anthony Zhou, Linnia Hawkins, Pierre Gentine:
Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX. - Wonjoong Kim, Sangwu Park, Yeonjun In, Seokwon Han, Chanyoung Park:
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials. - Ahmed Hossam, Ahmed Ramadan, Mina Magdy, Raneem Abdelwahab, Salma Ashraf, Zeina Mohamed:
Revolutionizing Retail Analytics: Advancing Inventory and Customer Insight with AI. - Arindam Majee, Rahul Saha, Snehasish Roy, Srilekha Mandal, Sayan Chatterjee:
Swarm UAVs Communication. - Md. Shohanur Islam Sobuj, Md. Imran Hossen, Md. Foysal Mahmud, Mahbub Ul Islam Khan:
Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification. - Mengran Zhu, Ye Zhang, Yulu Gong, Changxin Xu, Yafei Xiang:
Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach. - Wen Cao, Ehsan Miandji, Jonas Unger:
Multidimensional Compressed Sensing for Spectral Light Field Imaging. - Pavan L. Veluvali, Jan Heiland, Peter Benner:
MaRDIFlow: A CSE workflow framework for abstracting meta-data from FAIR computational experiments. - Alex Kim, Jia Huang, Rob Monarch, Jerry Kwac, Anikesh Kamath, Parmeshwar Khurd, Kailash Thiyagarajan, Goodman Gu:
Automatic Creative Selection with Cross-Modal Matching. - Arindam Majee:
DeepOps & SLURM: Your GPU Cluster Guide. - Aditya V. Jonnalagadda, Hashim A. Hashim:
SegNet: A Segmented Deep Learning based Convolutional Neural Network Approach for Drones Wildfire Detection. - Nick Wanninger, Tommy McMichen, Simone Campanoni, Peter A. Dinda:
Getting a Handle on Unmanaged Memory. - Marco Araújo:
A guideline for the methodology chapter in computer science dissertations. - Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti, Oier Penagarikano:
A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations. - Yousef Emami, Hao Gao, Kai Li, Luís Almeida, Eduardo Tovar, Zhu Han:
Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation. - Ruba Islayem, Fatima Alhosani, Raghad Hashem, Afra Alzaabi, Mahmoud Méribout:
Hardware Accelerators for Autonomous Cars: A Review. - Mingrui Ma, Lansheng Han, Chunjie Zhou:
Research and application of artificial intelligence based webshell detection model: A literature review. - Joao P. A. Dantas, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama:
Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. - Mark Huasong Meng, Hao Guan, Liuhuo Wan, Sin Gee Teo, Guangdong Bai, Jin Song Dong:
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks. - Olivier Letoffe, Xuanxiang Huang, João Marques-Silva:
On Correcting SHAP Scores. - Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang:
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. - Luis Gerhorst, Henriette Herzog, Peter Wägemann, Maximilian Ott, Rüdiger Kapitza, Timo Hönig:
Mitigating Spectre-PHT using Speculation Barriers in Linux BPF. - Pavamana K. J, Chandramani Kishore Singh:
Recommenadation aided Caching using Combinatorial Multi-armed Bandits. - Giorgio Franceschelli, Mirco Musolesi:
Creative Beam Search: LLM-as-a-Judge For Improving Response Generation. - Konpal Shaukat Ali, Roberto Bomfin, Marwa Chafii:
Successive Interference Cancellation for ISAC in a Large Full-Duplex Cellular Network. - Justin Engelmann, Miguel O. Bernabeu:
Training a high-performance retinal foundation model with half-the-data and 400 times less compute. - Ehsan Hoseinzade, Ke Wang:
Graph Neural Network Approach to Semantic Type Detection in Tables. - Raph Levien, Arman Uguray:
GPU-friendly Stroke Expansion. - Nicholas W. Landry, William Thompson, Laurent Hébert-Dufresne, Jean-Gabriel Young:
Complex contagions can outperform simple contagions for network reconstruction with dense networks or saturated dynamics. - Yuto Shida, Giulia Punzi, Yasuaki Kobayashi, Takeaki Uno, Hiroki Arimura:
Finding Diverse Strings and Longest Common Subsequences in a Graph. - Goya van Boven, Yupei Du, Dong Nguyen:
Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns. - Shuai Lyu, Yao Sun, Linke Guo, Xiaoyong Yuan, Fang Fang, Lan Zhang, Xianbin Wang:
Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach. - Rayan Mazouz, John Skovbekk, Frederik Baymler Mathiesen, Eric W. Frew, Luca Laurenti, Morteza Lahijanian:
Data-Driven Permissible Safe Control with Barrier Certificates. - Christof Ferreira Torres, Albin Mamuti, Ben Weintraub, Cristina Nita-Rotaru, Shweta Shinde:
Rolling in the Shadows: Analyzing the Extraction of MEV Across Layer-2 Rollups. - George Boateng, Victor Wumbor-Apin Kumbol:
AfricAIED 2024: 2nd Workshop on Artificial Intelligence in Education in Africa. - Yan Zhang, Indrakshi Dey, Nicola Marchetti:
RIS-aided Wireless Communication with Movable Elements Geometry Impact on Performance. - Trinath Sai Subhash Reddy Pittala, Uma Maheswara R. Meleti, Manasa Thatipamula:
Utilizing Machine Learning and 3D Neuroimaging to Predict Hearing Loss: A Comparative Analysis of Dimensionality Reduction and Regression Techniques. - Devi Klein, Srijita Karmakar, Aditya Jonnalagadda, Craig K. Abbey, Miguel P. Eckstein:
Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images. - Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre-Louis Bernard, Gérard Dray, Walid Maalej:
GUing: A Mobile GUI Search Engine using a Vision-Language Model. - Alexander Demin, Yuriy Dorn, Aleksandr Katrutsa, Daniil Kazantsev, Ilgam Latypov, Yulia Maximlyuk, Denis K. Ponomaryov:
EEvA: Fast Expert-Based Algorithms for Buffer Page Replacement. - Andrei-Marius Avram, Andreea Iuga, George-Vlad Manolache, Vlad-Cristian Matei, Razvan-Gabriel Miclius, Vlad-Andrei Muntean, Manuel-Petru Sorlescu, Dragos-Andrei Serban, Adrian-Dinu Urse, Vasile Pais, Dumitru-Clementin Cercel:
HistNERo: Historical Named Entity Recognition for the Romanian Language. - Skylar Chan, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh:
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification. - Chongyang Shi, Yuheng Bu, Jie Fu:
Information-Theoretic Opacity-Enforcement in Markov Decision Processes. - Simge Yatkin, Tolga Ovatman:
Logical analysis and contradiction detection in high-level requirements during the review process using sat-solver. - Olivier Bournez, Riccardo Gozzi:
Solvable Initial Value Problems Ruled by Discontinuous Ordinary Differential Equations. - Imran Nasim, Adam Nasim:
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks. - Zhangyong Tang, Tianyang Xu, Zhenhua Feng, Xuefeng Zhu, Chunyang Cheng, Xiaojun Wu, Josef Kittler:
Revisiting RGBT Tracking Benchmarks from the Perspective of Modality Validity: A New Benchmark, Problem, and Solution. - David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander:
Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings. - Alireza Salemi, Hamed Zamani:
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models. - Hang Du, Sicheng Zhang, Binzhu Xie, Guoshun Nan, Jiayang Zhang, Junrui Xu, Hangyu Liu, Sicong Leng, Jiangming Liu, Hehe Fan, Dajiu Huang, Jing Feng, Linli Chen, Can Zhang, Xuhuan Li, Hao Zhang, Jianhang Chen, Qimei Cui, Xiaofeng Tao:
Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly. - Adam Catto, Nan Jia, Ansaf Salleb-Aouissi, Anita Raja:
M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values. - John Beverley, Peter Koch, David Limbaugh, Barry Smith:
Capabilities. - Jonathan Serrano-Pérez, Luis Enrique Sucar:
Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information. - John Beverley, Robin McGill, Sam Smith, Jie Zheng, Giacomo De Colle, Finn Wilson, Matthew Diller, William D. Duncan, William R. Hogan, Yongqun He:
Credentials in the Occupation Ontology. - Tahira Shehzadi, Shalini Sarode, Didier Stricker, Muhammad Zeshan Afzal:
Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer. - Nicolas Samson, Dominic Baril, Julien Lépine, François Pomerleau:
Comparing Motion Distortion Between Vehicle Field Deployments. - Diangarti Tariang, Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet. - Michael Rabenberg, Carter Benson, Federico Donato, Yongqun He, Anthony Huffman, Shane Babcock, John Beverley:
Grounding Realizable Entities. - Aviral Prakash, Yongjie Jessica Zhang:
Data-driven identification of stable differential operators using constrained regression. - Olivier Gamache, Jean-Michel Fortin, Matej Boxan, François Pomerleau, Philippe Giguère:
Field Report on a Wearable and Versatile Solution for Field Acquisition and Exploration. - Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig:
In-Context Learning with Long-Context Models: An In-Depth Exploration. - Samir Arora, Liangliang Wang:
SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained Large Language Models. - A. N. M. Nafiz Abeer, Sanket R. Jantre, Nathan M. Urban, Byung-Jun Yoon:
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design. - Robert Vacareanu, Anurag Pratik, Evangelia Spiliopoulou, Zheng Qi, Giovanni Paolini, Neha Anna John, Jie Ma, Yassine Benajiba, Miguel Ballesteros:
General Purpose Verification for Chain of Thought Prompting. - Pierre Nunn, Marco Sälzer, François Schwarzentruber, Nicolas Troquard:
A Logic for Reasoning About Aggregate-Combine Graph Neural Networks. - Javier Ferrando, Gabriele Sarti, Arianna Bisazza, Marta R. Costa-jussà:
A Primer on the Inner Workings of Transformer-based Language Models. - Jiyang Wang, Ayse Altay, Senem Velipasalar:
Block-As-Domain Adaptation for Workload Prediction from fNIRS Data. - Yicheng Tao, Yiqun Wang, Longju Bai:
Graphical Reasoning: LLM-based Semi-Open Relation Extraction. - Shupeng Wang, George Em Karniadakis:
GMC-PINNs: A new general Monte Carlo PINNs method for solving fractional partial differential equations on irregular domains. - Yanjun Fu, Ethan Baker, Yizheng Chen:
Constrained Decoding for Secure Code Generation. - Abdoljalil Addeh, Fernando Vega, Rebecca J. Williams, G. Bruce Pike, M. Ethan MacDonald:
Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters. - Ali Shibli, Tahar Zanouda:
Context-Aware Mobile Network Performance Prediction Using Network & Remote Sensing Data. - Sunwoo Ha, Chaehun Lim, R. Jordan Crouser, Alvitta Ottley:
ConFides: A Visual Analytics Solution for Automated Speech Recognition Analysis and Exploration. - Ernesto Giralt Hernández:
Hacia una implementación ética e inclusiva de la Inteligencia Artificial en las organizaciones: un marco multidimensional. - Dongyu Wei, Liu Cao, Lyutianyang Zhang, Xiangyu Gao, Hao Yin:
Optimized Non-Primary Channel Access Design in IEEE 802.11bn. - David Geissbühler, Hatef Otroshi-Shahreza, Sébastien Marcel:
Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion. - Evan W. Patton, David Y. J. Kim, Ashley M. Granquist, Robin Liu, Arianna Scott, Jennet Zamanova, Harold Abelson:
Aptly: Making Mobile Apps from Natural Language. - Haohe Liu, Xuenan Xu, Yi Yuan, Mengyue Wu, Wenwu Wang, Mark D. Plumbley:
SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound. - Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, Zijian Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li:
STT: Stateful Tracking with Transformers for Autonomous Driving. - Ezra Schoen, Clemens Kupke, Jurriaan Rot, Ruben Turkenburg:
A Categorical Approach to Coalgebraic Fixpoint Logic. - Diego Porres, Yi Xiao, Gabriel Villalonga, Alexandre Levy, Antonio M. López:
Guiding Attention in End-to-End Driving Models. - Zun Li, Michael P. Wellman:
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. - Yong Shu, Liquan Shen, Xiangyu Hu, Mengyao Li, Zihao Zhou:
Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network. - Vítor Gomes Chagas, Elisa Dell'Arriva, Flávio Keidi Miyazawa:
A Framework for Approximation Schemes on Knapsack and Packing Problems of Hyperspheres and Fat Objects. - Qiang Huang:
Who is Authentic Speaker. - Narayanan Elavathur Ranganatha, Hengyuan Zhang, Shashank Venkatramani, Jing-Yan Liao, Henrik I. Christensen:
SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor Configurations. - Dylan Green, William Harvey, Saeid Naderiparizi, Matthew Niedoba, Yunpeng Liu, Xiaoxuan Liang, Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood:
Semantically Consistent Video Inpainting with Conditional Diffusion Models. - Yuchen Tian, Weixiang Yan, Qian Yang, Qian Chen, Wen Wang, Ziyang Luo, Lei Ma:
CodeHalu: Code Hallucinations in LLMs Driven by Execution-based Verification. - Chanwoo Park, Mingyang Liu, Dingwen Kong, Kaiqing Zhang, Asuman E. Ozdaglar:
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation. - Bo Li, Haoke Xiao, Lv Tang:
ASAM: Boosting Segment Anything Model with Adversarial Tuning. - Avital Boruchovsky, Tuvi Etzion:
Nearly Perfect Covering Codes. - Yamato Okamoto, Youngmin Baek, Geewook Kim, Ryota Nakao, Donghyun Kim, Moonbin Yim, Seunghyun Park, Bado Lee:
CREPE: Coordinate-Aware End-to-End Document Parser. - Quanquan C. Liu, C. Seshadhri:
Improved Massively Parallel Triangle Counting in O(1) Rounds. - Bin Xiao, Chunan Shi, Xiaonan Nie, Fan Yang, Xiangwei Deng, Lei Su, Weipeng Chen, Bin Cui:
Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge. - David R. Treadwell IV, Derek Jacoby, William Parkinson, Bruce Maxwell, Yvonne Coady:
Using Texture to Classify Forests Separately from Vegetation. - Xiaoyu Ai, Chengpei Xu, Binghao Li, Feng Xia:
Robot-As-A-Sensor: Forming a Sensing Network with Robots for Underground Mining Missions. - Shlomi Hod, Ran Canetti:
Differentially Private Release of Israel's National Registry of Live Births. - Paola Festa, Francesca Guerriero, Mauricio G. C. Resende, Edoardo Scalzo:
A biased random-key genetic algorithm with variable mutants to solve a vehicle routing problem. - Xiaorui Wang, Zeyu Sha, Feitian Zhang:
Adaptive Integral Sliding Mode Control for Attitude Tracking of Underwater Robots With Large Range Pitch Variations in Confined Space. - Zihan Yan, Yaohong Xiang, Yun Huang:
Social Life Simulation for Non-Cognitive Skills Learning. - Xi Chen, Scott A. Hale, David Jurgens, Mattia Samory, Ethan Zuckerman, Przemyslaw A. Grabowicz:
Global News Synchrony and Diversity During the Start of the COVID-19 Pandemic. - Samuel A. Isaacson, Ying Zhang:
An Unstructured Mesh Reaction-Drift-Diffusion Master Equation with Reversible Reactions. - Yifan Guo, Zhongqiang Ren, Chen Wang:
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning. - Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park:
Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. - Zhenning Yang, Ryan Krawec, Liang-Yuan Wu:
Adversarial Attacks and Defense for Conversation Entailment Task. - Jionghao Lin, Eason Chen, Zeifei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. - Rajat Sahay, Andreas E. Savakis:
MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model. - Yue Zhang, Shouqiao Wang:
Proof of Sampling: A Nash Equilibrium-Secured Verification Protocol for Decentralized Systems. - Mohammad Sina Karvandi, Soroush Meghdadi Zanjani, Sima Arasteh, Saleh Khalaj Monfared, Mohammad K. Fallah, Saeid Gorgin, Jeong-A Lee, Erik van der Kouwe:
The Reversing Machine: Reconstructing Memory Assumptions. - Fukeng Huang, Jie Shen:
On a new class of BDF and IMEX schemes for parabolic type equations. - Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang:
LITO: Learnable Intervention for Truthfulness Optimization. - Hasnain Heickal, Andrew Lan:
Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models. - Matt Raymond, Angela Violi, Clayton Scott:
Joint Optimization of Piecewise Linear Ensembles. - Dongyuan Li, Ying Zhang, Yusong Wang, Funakoshi Kataro, Manabu Okumura:
Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition. - Michael Lim Kee Hian, Ten Wei Lin, Zachary Wu Xuan, Stephanie-Ann Loy, Maoyang Xiang, Tee Hui Teo:
FPGA Digital Dice using Pseudo Random Number Generator. - Li Chen, Yuqing Fu, Hongwei Liu:
New upper bounds on the number of non-zero weights of constacyclic codes. - Ming Lu, Zhen Gao, Ying Zou, Zuguo Chen, Pei Li:
Three-layer deep learning network random trees for fault diagnosis in chemical production process. - Peyman Gholami, Robert Xiao:
Streamlining Image Editing with Layered Diffusion Brushes. - Dayou Du, Gu Gong, Xiaowen Chu:
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey. - Hang Zhou, Haichao Liu, Hongliang Lu, Dan Xu, Jun Ma, Yiding Ji:
Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving. - Jens Egholm Pedersen, Jörg Conradt, Tony Lindeberg:
Covariant spatio-temporal receptive fields for neuromorphic computing. - Liran Nochumsohn, Omri Azencot:
Data Augmentation Policy Search for Long-Term Forecasting. - Debarun Sarkar, Cheshta Arora:
Web3 and the State: Indian state's redescription of blockchain. - Bhuvanesh Verma, Lisa Raithel:
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training. - Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina:
Characterizing Information Seeking Processes with Multiple Physiological Signals. - Takahiro Katagiri, Jun-ichi Iwata, Kazuyuki Uchida:
A Communication Avoiding and Reducing Algorithm for Symmetric Eigenproblem for Very Small Matrices. - Naoaki Okada, Shuji Kijima:
A Smoothed Analysis of the Space Complexity of Computing a Chaotic Sequence. - March Boedihardjo, Thomas Strohmer, Roman Vershynin:
Metric geometry of the privacy-utility tradeoff. - Syed Hasib Akhter Faruqui, Nazia Tasnim, Iftekhar Ibne Basith, Suleiman Obeidat, Faruk Yildiz:
Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'. - Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, Tiffany Zhao, Pranav Raja, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele Lunati, Summer Yue:
A Careful Examination of Large Language Model Performance on Grade School Arithmetic. - Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura:
A Survey on Deep Active Learning: Recent Advances and New Frontiers. - Tobias Rohrbach, Mykola Makhortykh, Maryna Sydorova:
Finding the white male: The prevalence and consequences of algorithmic gender and race bias in political Google searches. - Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen:
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model. - Ziyi Chen, Xiaolong Wu, Yu Zhang:
NC-SDF: Enhancing Indoor Scene Reconstruction Using Neural SDFs with View-Dependent Normal Compensation. - Mengmeng Zhang, Xiantong Yang:
Google or ChatGPT: Who is the Better Helper for University Students. - Naoyuki Kamiyama:
The Set of Stable Matchings and the Core in a Matching Market with Ties and Matroid Constraints. - Zhichuan Wang, Kinhei Lee, Qiao Deng, Tiffany Y. So, Wan Hang Chiu, Yeung Yu Hui, Bingjing Zhou, Edward S. Hui:
Expert Insight-Enhanced Follow-up Chest X-Ray Summary Generation. - Hyunho Lee, Junhoo Lee, Nojun Kwak:
Practical Dataset Distillation Based on Deep Support Vectors. - Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. - Zidong Cao, Zhan Wang, Yexin Liu, Yan-Pei Cao, Ying Shan, Wei Zeng, Lin Wang:
Learning High-Quality Navigation and Zooming on Omnidirectional Images in Virtual Reality. - Zhiyu Fang, Shuai-Long Lei, Xiaobin Zhu, Chun Yang, Shi-Xue Zhang, Xu-Cheng Yin, Jingyan Qin:
Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph. - Wentao Ye, Bo Liu, Yuan Luo, Jianwei Huang:
Dual-Role AoI-based Incentive Mechanism for HD map Crowdsourcing. - Bin Zhao, Chunshi Wang, Shuxue Ding:
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation. - Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis. - Zhiyu Fang, Jingyan Qin, Xiaobin Zhu, Chun Yang, Xu-Cheng Yin:
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding. - Yusuke Kobayashi, Tatsuya Terao:
Subquadratic Submodular Maximization with a General Matroid Constraint. - Zefang Liu, Jiahua Luo:
AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts. - Jingping Wang, Tingrui Zhang, Qixuan Zhang, Chuxiao Zeng, Jingyi Yu, Chao Xu, Lan Xu, Fei Gao:
Implicit Swept Volume SDF: Enabling Continuous Collision-Free Trajectory Generation for Arbitrary Shapes. - Fenghao Zhu, Xinquan Wang, Chongwen Huang, Richeng Jin, Qianqian Yang, Ahmed Alhammadi, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah:
Robust Continuous-Time Beam Tracking with Liquid Neural Network. - Mastiyage Don Sudeera Hasaranga Gunathilaka, Yoshitaka Inui, Satoshi Kako, Kazushi Mimura, Masato Okada, Yoshihisa Yamamoto, Toru Aonishi:
L0-regularized compressed sensing with Mean-field Coherent Ising Machines. - Yoori Oh, Yoseob Han, Kyogu Lee:
Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation. - Jan Østergaard:
Directed Redundancy in Time Series. - Robin Donal:
Thread review sentimental analysis with tkinter GUI & tableau dashboard. - Hanyang Chi, Jian Pang, Bingfeng Zhang, Weifeng Liu:
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation. - Abhishek Kumar Singh, Mani Mehra, Anatoly A. Alikhanov:
Modified least squares method and a review of its applications in machine learning and fractional differential/integral equations. - Daniel Palenicek, Theo Gruner, Tim Schneider, Alina Böhm, Janis Lenz, Inga Pfenning, Eric Krämer, Jan Peters:
Learning Tactile Insertion in the Real World. - Konstantinos Apostolidis, Jakob Abeßer, Luca Cuccovillo, Vasileios Mezaris:
Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol. - Berk Çiloglu, Görkem Berkay Koç, Metin Öztürk, Halim Yanikomeroglu:
Cell Switching in HAPS-Aided Networking: How the Obscurity of Traffic Loads Affects the Decision. - Hongzhan Lin, Zixin Chen, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen:
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. - Fenghao Zhu, Xinquan Wang, Chongwen Huang, Ahmed Alhammadi, Hui Chen, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah:
Beamforming Inferring by Conditional WGAN-GP for Holographic Antenna Arrays. - Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio:
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing. - Haiyang Wei, Zhengjie Du, Haohui Huang, Yue Liu, Guang Cheng, Linzhang Wang, Bing Mao:
Inferring State Machine from the Protocol Implementation via Large Langeuage Model. - Osama Wehbi, Sarhad Arisdakessian, Mohsen Guizani, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Hoda Alkhzaimi, Bassem Ouni:
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities. - Mario Chahoud, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
Trust Driven On-Demand Scheme for Client Deployment in Federated Learning. - Zhijin Guan, Yifan Wang, Hehu Xie, Chenguang Zhou:
Enhanced Error Estimates for Augmented Subspace Method with Crouzeix-Raviart Element. - Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu:
Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. - Leonardo Ranaldi, André Freitas:
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models. - Yucheng Shi, Alexandros Agapitos, David Lynch, Giorgio Cruciata, Cengis Hasan, Hao Wang, Yayu Yao, Aleksandar Milenovic:
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning. - Oleksandr Kosenkov, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez, Davide Fucci, Tony Gorschek:
On Developing an Artifact-based Approach to Regulatory Requirements Engineering. - Yunpeng Xu, Wenge Guo, Zhi Wei:
Conformal Risk Control for Ordinal Classification. - Hong-Nhung Nguyen, Ha-Thanh Nguyen, Damien Lescos:
Detection of ransomware attacks using federated learning based on the CNN model. - Martin Kiss, Michal Hradis:
Self-supervised Pre-training of Text Recognizers. - Dimitrios Antonopoulos, Dimitrios Mitsotakis:
Bona-Smith-type systems in bounded domains with slip-wall boundary conditions: Theoretical justification and a conservative numerical scheme. - Ni Ding, Mohammad Amin Zarrabian, Parastoo Sadeghi:
αleakage by Rényi Divergence and Sibson Mutual Information. - Hala Amin, Waqas Aman, Saif Al-Kuwari:
On the Potential of Re-configurable Intelligent Surface (RIS)-assisted Physical Layer Authentication (PLA). - Anand Louis, Alantha Newman, Arka Ray:
Improved linearly ordered colorings of hypergraphs via SDP rounding. - Shihan Dou, Yueming Wu, Haoxiang Jia, Yuhao Zhou, Yan Liu, Yang Liu:
CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection. - Katarzyna E. Paluch, Mateusz Wasylkiewicz:
Clique-free t-matchings in degree-bounded graphs. - Zihan Wang, Ziliang Xiong, Hongying Tang, Xiaobing Yuan:
Detail-Enhancing Framework for Reference-Based Image Super-Resolution. - Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney:
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. - Wei Zhang, Wong Kam-Kwai, Biying Xu, Yiwen Ren, Yuhuai Li, Minfeng Zhu, Yingchaojie Feng, Wei Chen:
CultiVerse: Towards Cross-Cultural Understanding for Paintings with Large Language Model. - Suyash Tandon, Leopold Grinberg, Gheorghe-Teodor Bercea, Carlo Bertolli, Mark Olesen, Simone Bnà, Nicholas Malaya:
Porting HPC Applications to AMD InstinctTM MI300A Using Unified Memory and OpenMP. - Theron Guo, Varvara G. Kouznetsova, Marc G. D. Geers, Karen Veroy, Ondrej Rokos:
Reduced-order modeling for second-order computational homogenization with applications to geometrically parameterized elastomeric metamaterials. - Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang Jia, Limao Xiong, Xin Zhao, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
MetaRM: Shifted Distributions Alignment via Meta-Learning. - Fairouz Kamareddine, Joe B. Wells:
Intersection Types via Finite-Set Declarations. - Debranjan Pal, Vishal Pankaj Chandratreya, Abhijit Das, Dipanwita Roy Chowdhury:
Modeling Linear and Non-linear Layers: An MILP Approach Towards Finding Differential and Impossible Differential Propagations. - Xujie Zhang, Ente Lin, Xiu Li, Yuxuan Luo, Michael Kampffmeyer, Xin Dong, Xiaodan Liang:
MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation. - Mohamed Manzour Hussien, Angie Nataly Melo, Augusto Luis Ballardini, Carlota Salinas Maldonado, Rubén Izquierdo, Miguel Ángel Sotelo:
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models. - Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh:
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. - Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan:
Predictive Accuracy-Based Active Learning for Medical Image Segmentation. - Anna Ogorodova, Pakizar Shamoi, Aron Karatayev:
Fuzzy Intelligent System for Student Software Project Evaluation. - Gholamali Aminian, Amirhossien Bagheri, Mahyar JafariNodeh, Radmehr Karimian, Mohammad Hossein Yassaee:
Robust Semi-supervised Learning via f-Divergence and α-Rényi Divergence. - Rushan Wang, Yanan Xin, Yatao Zhang, Fernando Pérez-Cruz, Martin Raubal:
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting. - Akshay Verma, Richard F. Sear, Neil F. Johnson:
U.S. Election Hardens Hate Universe. - Huan Xu, Jinlin Wu, Guanglin Cao, Zhen Lei, Zhen Chen, Hongbin Liu:
Enhancing Surgical Robots with Embodied Intelligence for Autonomous Ultrasound Scanning. - Mingchen Li, Halil Kilicoglu, Hua Xu, Rui Zhang:
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine. - Haozhe Liu, Wentian Zhang, Bing Li, Bernard Ghanem, Jürgen Schmidhuber:
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable. - KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar:
Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing. - Jincheng Zhang, Qijun Zhao, Tie Liu:
Feature-Aware Noise Contrastive Learning For Unsupervised Red Panda Re-Identification. - Andrew Parry, Sean MacAvaney, Debasis Ganguly:
Exploiting Positional Bias for Query-Agnostic Generative Content in Search. - Lingyi Chen, Shitong Wu, Wenyi Zhang, Huihui Wu, Hao Wu:
On Convergence of Discrete Schemes for Computing the Rate-Distortion Function of Continuous Source. - ZhengZhao Feng, Rui Wang, TianXing Wang, Mingli Song, Sai Wu, Shuibing He:
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges. - Zhilin Zhang:
Enhanced Visual Question Answering: A Comparative Analysis and Textual Feature Extraction Via Convolutions. - Thomas Bolander, Alessandro Burigana:
Better Bounded Bisimulation Contractions (Preprint). - Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang:
PackVFL: Efficient HE Packing for Vertical Federated Learning. - Wei-Han Wang, Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Ming-Syan Chen:
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol. - Delong Chen, Samuel Cahyawijaya, Etsuko Ishii, Ho Shu Chan, Yejin Bang, Pascale Fung:
The Pyramid of Captions. - Aubrey Condor, Zachary A. Pardos:
Explainable Automatic Grading with Neural Additive Models. - Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot:
On the Relevance of Byzantine Robust Optimization Against Data Poisoning. - Max Peeperkorn, Tom Kouwenhoven, Dan Brown, Anna Jordanous:
Is Temperature the Creativity Parameter of Large Language Models? - Jiaxin Zhang, Yashar Moshfeghi:
GOLD: Geometry Problem Solver with Natural Language Description. - Athanasios C. Antoulas, Ion Victor Gosea, Charles Poussot-Vassal:
The Loewner framework for parametric systems: Taming the curse of dimensionality. - Oshri Naparstek, Roi Pony, Inbar Shapira, Foad Abo Dahood, Ophir Azulai, Yevgeny Yaroker, Nadav Rubinstein, Maksym Lysak, Peter W. J. Staar, Ahmed Nassar, Nikolaos Livathinos, Christoph Auer, Elad Amrani, Idan Friedman, Orit Prince, Yevgeny Burshtein, Adi Raz Goldfarb, Udi Barzelay:
KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents. - Zhinan Yu, Zheng Qin, Yijie Tang, Yongjun Wang, Renjiao Yi, Chenyang Zhu, Kai Xu:
NeRF-Guided Unsupervised Learning of RGB-D Registration. - Sizhuo Li, Dimitri Gominski, Martin Brandt, Xiaoye Tong, Philippe Ciais:
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring. - Weijian Sun, Yanbo Jia, Qi Zeng, Zihao Liu, Jiang Liao, Yue Li, Xianfeng Li:
GAD-Generative Learning for HD Map-Free Autonomous Driving. - Lucas-Andrei Thil, Mirela Popa, Gerasimos Spanakis:
Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning. - Vasilis Vlachokyriakos, Ian G. Johnson, Robert Anderson, Caroline Claisse, Viana Zhang, Pamela Briggs:
Design Implications for a Social and Collaborative Understanding of online Information Assessment Practices, Challenges and Heuristics. - Donghee Choi, Mogan Gim, Donghyeon Park, Mujeen Sung, Hyunjae Kim, Jaewoo Kang, Jihun Choi:
CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions. - Afsaneh Mahanipour, Hana Khamfroush:
FMLFS: A federated multi-label feature selection based on information theory in IoT environment. - Yi He, Yuan Zhou, Yacong Gu, Purui Su, Qi Li, Yajin Zhou, Yong Jiang:
JNI Global References Are Still Vulnerable: Attacks and Defenses. - Jinqing Lian, Xinyi Liu, Yingxia Shao, Yang Dong, Ming Wang, Zhang Wei, Tianqi Wan, Ming Dong, Hailin Yan:
ChatBI: Towards Natural Language to Complex Business Intelligence SQL. - Sergey B. Medvedev, Irina Vaseva, Mikhail P. Fedoruk:
High-Order Block Toeplitz Inner-Bordering method for solving the Gelfand-Levitan-Marchenko equation. - Jens Friess, Donika Mirdita, Haya Schulmann, Michael Waidner:
Byzantine-Secure Relying Party for Resilient RPKI. - Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia:
ULLER: A Unified Language for Learning and Reasoning. - Rúben Almeida, Evelin Amorim:
A Legal Framework for Natural Language Processing Model Training in Portugal. - Liam Llamazares-Elias, Samir Llamazares-Elías, Jonas Latz, Stefan Klus:
Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds. - Hannah Schuster, Axel Polleres, Amin Anjomshoaa, Johannes Wachs:
Heat, Health, and Habitats: Analyzing the Intersecting Risks of Climate and Demographic Shifts in Austrian Districts. - Quy Hoang Nguyen, Minh-Van Truong Nguyen, Kiet Van Nguyen:
New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysis. - Lingyi Chen, Shitong Wu, Xinwei Li, Huihui Wu, Hao Wu, Wenyi Zhang:
A Double Maximization Approach for Optimizing the LM Rate of Mismatched Decoding. - Aditya Asgaonkar, Francesco D'Amato, Roberto Saltini, Luca Zanolini, Chenyi Zhang:
A Confirmation Rule for the Ethereum Consensus Protocol. - Nicolas Gorlo, Lukas Schmid, Luca Carlone:
Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs. - Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
A First Look at Selection Bias in Preference Elicitation for Recommendation. - Enrico Lopedoto, Maksim Shekhunov, Vitaly Aksenov, Kizito Salako, Tillman Weyde:
Derivative-based regularization for regression. - Elham Shammar, Xiaohui Cui, Mohammed A. A. Al-qaness:
Swarm Learning: A Survey of Concepts, Applications, and Trends. - Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok:
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. - Theodoros Theodoropoulos, Luís Rosa, Abderrahmane Boudi, Tarik Zakaria Benmerar, Antonios Makris, Tarik Taleb, Luís Cordeiro, Konstantinos Tserpes, JaeSeung Song:
Cross-Cluster Networking to Support Extended Reality Services. - K. R. Arun, Mainak Kar:
An Energy Stable Well-balanced Scheme for the Barotropic Euler System with Gravity under the Anelastic Scaling. - Lorena Barreto Simedo Pacheco, An Ran Chen, Jinqiu Yang, Tse-Hsun Chen:
Leveraging Stack Traces for Spectrum-based Fault Localization in the Absence of Failing Tests. - Huan-Yi Su, Ke Wu, Yu-Hao Huang, Wu-Jun Li:
NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance. - Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu:
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. - Lavanya V. Salian, Samala Rathan, Debojyoti Ghosh:
A novel central compact finite-difference scheme for third derivatives with high spectral resolution. - Theodoros Theodoropoulos, Angelos-Christos Maroudis, Antonios Makris, Konstantinos Tserpes:
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting. - Young Kyun Jang, Dat Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim:
Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval. - Deng Li, Xin Liu, Bohao Xing, Baiqiang Xia, Yuan Zong, Bihan Wen, Heikki Kälviäinen:
EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model. - Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse:
Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review. - Guanying Jiang, Lingyong Yan, Haibo Shi, Dawei Yin:
The Real, the Better: Aligning Large Language Models with Online Human Behaviors. - Jianfeng Lu, Yue Chen, Shuqin Cao, Longbiao Chen, Wei Wang, Yun Xin:
LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game. - Sara Ban, Sanja Rukavina:
Construction of extremal Type II ℤ8 codes via doubling method. - Gjosse Zijlstra, Karen Aplin, Edmund R. Hunt:
Multi-Robot Strategies for Communication-Constrained Exploration and Electrostatic Anomaly Characterization. - Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen:
GraCo: Granularity-Controllable Interactive Segmentation. - Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh:
Are Models Biased on Text without Gender-related Language? - Mir Masood Ali, Peter Snyder, Chris Kanich, Hamed Haddadi:
Unbundle-Rewrite-Rebundle: Runtime Detection and Rewriting of Privacy-Harming Code in JavaScript Bundles. - Andrew Kramer, Christoffer Heckman:
Radar-Based Localization For Autonomous Ground Vehicles In Suburban Neighborhoods. - Sanjay Ram Kairam, Jeremy Foote:
How founder motivations, goals, and actions influence early trajectories of online communities. - Gloria Ashiya Katuka, Alexander Gain, Yen-Yun Yu:
Investigating Automatic Scoring and Feedback using Large Language Models. - Yimin Deng, Jianzong Wang, Xulong Zhang, Ning Cheng, Jing Xiao:
Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation. - Theodor Westny, Björn Olofsson, Erik Frisk:
A Preprocessing and Evaluation Toolbox for Trajectory Prediction Research on the Drone Datasets. - Yida Mu, Peizhen Bai, Kalina Bontcheva, Xingyi Song:
Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling. - Lunjia Hu, Charlotte Peale, Judy Hanwen Shen:
Multigroup Robustness. - Lingyi Chen, Jiachuan Ye, Shitong Wu, Huihui Wu, Hao Wu, Wenyi Zhang:
An Expectation-Maximization Relaxed Method for Privacy Funnel. - Antonio Ruiz, Andrew Melnik, Dong Wang, Helge J. Ritter:
Lane Segmentation Refinement with Diffusion Models. - Sirui Chen, Bo Peng, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu:
Causal Evaluation of Language Models. - Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan:
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. - (Withdrawn) Queue-based Eco-Driving at Roundabouts with Reinforcement Learning.
- Zexin Sun, Mingyu Chen, John Baillieul:
Koopman-based Deep Learning for Nonlinear System Estimation. - Malte Lehna, Clara Holzhüter, Sven Tomforde, Christoph Scholz:
HUGO - Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach. - Zhihao Guo, Peng Wang:
Depth Priors in Removal Neural Radiance Fields. - Assefa Seyoum Wahd:
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure. - Irina Proskurina, Luc Brun, Guillaume Metzler, Julien Velcin:
When Quantization Affects Confidence of Large Language Models? - Vivek Khatana, Chin-Yao Chang, Wenbo Wang:
A Distributed Model Identification Algorithm for Multi-Agent Systems. - Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer:
ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. - Chang Sun, Thea Klæboe Årrestad, Vladimir Loncar, Jennifer Ngadiuba, Maria Spiropulu:
Gradient-based Automatic Per-Weight Mixed Precision Quantization for Neural Networks On-Chip. - Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong:
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. - Ningke Li, Yuekang Li, Yi Liu, Ling Shi, Kailong Wang, Haoyu Wang:
HalluVault: A Novel Logic Programming-aided Metamorphic Testing Framework for Detecting Fact-Conflicting Hallucinations in Large Language Models. - Colton R. Crum, Samuel Webster, Adam Czajka:
Grains of Saliency: Optimizing Saliency-based Training of Biometric Attack Detection Models. - Dongqi Liu, Vera Demberg:
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization. - Sanad Malaysha, Mustafa Jarrar, Mohammed Khalilia:
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness. - Skander Moalla, Andrea Miele, Razvan Pascanu, Caglar Gulcehre:
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO. - Junsang Yoon, Akshat Gupta, Gopala Anumanchipalli:
Is Bigger Edit Batch Size Always Better? - An Empirical Study on Model Editing with Llama-3. - Priyanka Kaswan, Melih Bastopcu, Sennur Ulukus, S. Rasoul Etesami, Tamer Basar:
Optimizing Profitability in Timely Gossip Networks. - Zheng Zeng, Valentin Deschaintre, Iliyan Georgiev, Yannick Hold-Geoffroy, Yiwei Hu, Fujun Luan, Lingqi Yan, Milos Hasan:
RGB↔X: Image decomposition and synthesis using material- and lighting-aware diffusion models. - Andrei Chubarau, Hyunjin Yoo, Tara Akhavan, James J. Clark:
Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range Displays. - Julia Guerrero-Viu, Milos Hasan, Arthur Roullier, Midhun Harikumar, Yiwei Hu, Paul Guerrero, Diego Gutierrez, Belén Masiá, Valentin Deschaintre:
TexSliders: Diffusion-Based Texture Editing in CLIP Space. - Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu:
Self-Play Preference Optimization for Language Model Alignment. - Runyi Yang, Zhenxin Zhu, Zhou Jiang, Baijun Ye, Xiaoxue Chen, Yifei Zhang, Yuantao Chen, Jian Zhao, Hao Zhao:
Spectrally Pruned Gaussian Fields with Neural Compensation. - Konstantin Holzhausen, Mia Merlid, Håkon Olav Torvik, Anders Malthe-Sørenssen, Mikkel Elle Lepperød:
Exploring mechanisms of Neural Robustness: probing the bridge between geometry and spectrum. - Soufiane Bouabbadi:
Comparative approach: Electric distribution optimization with loss minimization algorithm and particle swarm optimization. - ZhenZhou Wang:
The active visual sensing methods for robotic welding: review, tutorial and prospect. - Vadim Tynchenko, Aleksei A. Kudryavtsev, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov:
Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing. - Kandai Watanabe, Georgios Fainekos, Bardh Hoxha, Morteza Lahijanian, Hideki Okamoto, Sriram Sankaranarayanan:
Optimal Planning for Timed Partial Order Specifications. - Yuchen Du, Tho V. Le:
Understanding Social Perception, Interactions, and Safety Aspects of Sidewalk Delivery Robots Using Sentiment Analysis. - Haechan Jeong:
Anti-Jamming Path Planning Using GCN for Multi-UAV. - Siyu Teng, Xuan Li, Yuchen Li, Lingxi Li, Yunfeng Ai, Long Chen:
Scenarios Engineering driven Autonomous Transportation in Open-Pit Mines. - Saeed Nasehi, Farhana Murtaza Choudhury, Egemen Tanin:
Proactive Route Planning for Electric Vehicles. - Jesse Atuhurra:
Large Language Models for Human-Robot Interaction: Opportunities and Risks. - Kevin Setterstrom, Jeremy Straub:
Analysis of the Efficacy of the Use of Inertial Measurement and Global Positioning System Data to Reverse Engineer Automotive CAN Bus Steering Signals. - Giulia d'Addato, Ruggero Carli, Eurico Farinha Pedrosa, Artur Pereira, Luigi Palopoli, Daniele Fontanelli:
Joint torques prediction of a robotic arm using neural networks. - Jingwei Ge, Pengbo Wang, Cheng Chang, Yi Zhang, Danya Yao, Li Li:
Life-long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as A Continuous Optimization Process. - Lechen Zhang:
CUDA-Accelerated Soft Robot Neural Evolution with Large Language Model Supervision. - Dengyu Wu, Yi Qi, Kaiwen Cai, Gaojie Jin, Xinping Yi, Xiaowei Huang:
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network. - Liang Li, Ting Zhou, Tong Liu, Zhiwei Liu, Yaping Li, Shuo Wu, Shanguang Zhao, Jinglin Zhu, Meiling Liu, Zhihan Lin, Bowen Sun, Jianjun Li, Fangwen Sun, Chongwen Zou:
Oxygen vacancies modulated VO2 for neurons and Spiking Neural Network construction. - Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray L. Buntine:
A Survey on the Real Power of ChatGPT. - Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li:
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning. - David M. Markowitz:
Science Written by Generative AI is Perceived as Less Intelligent, but More Credible and Trustworthy than Science Written by Humans. - Furui Cheng, Vilém Zouhar, Robin Shing Moon Chan, Daniel Fürst, Hendrik Strobelt, Mennatallah El-Assady:
Interactive Analysis of LLMs using Meaningful Counterfactuals. - Simranjit Singh, Michael Fore, Dimitrios Stamoulis:
Evaluating Tool-Augmented Agents in Remote Sensing Platforms. - Davit Melikidze, Alexander Gamkrelidze:
Homonym Sense Disambiguation in the Georgian Language. - Xiaomin Yu, Yezhaohui Wang, Yanfang Chen, Zhen Tao, Dinghao Xi, Shichao Song, Simin Niu, Zhiyu Li:
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities. - Hanyin Wang, Chufan Gao, Bolun Liu, Qiping Xu, Guleid Hussein, Mohamad El Labban, Kingsley Iheasirim, Hariprasad Korsapati, Chuck Outcalt, Jimeng Sun:
Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learning. - Andrew Liu, Hongjian Zhou, Yining Hua, Omid Rohanian, Lei A. Clifton, David A. Clifton:
Large Language Models in Healthcare: A Comprehensive Benchmark. - Abhinaba Bala, Ashok Urlana, Rahul Mishra, Parameswari Krishnamurthy:
Exploring News Summarization and Enrichment in a Highly Resource-Scarce Indian Language: A Case Study of Mizo. - Xu Ji, Jianyi Zhang, Ziyin Zhou, Zhangchi Zhao, Qianqian Qiao, Kaiying Han, Md. Imran Hossen, Xiali Hei:
Can't say cant? Measuring and Reasoning of Dark Jargons in Large Language Models. - Van Bach Nguyen, Paul Youssef, Jörg Schlötterer, Christin Seifert:
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study. - Dou Liu, Ying Han, Xiandi Wang, Xiaomei Tan, Di Liu, Guangwu Qian, Kang Li, Dan Pu, Rong Yin:
Evaluating the Application of ChatGPT in Outpatient Triage Guidance: A Comparative Study. - Justin Zhao, Timothy Wang, Wael Abid, Geoffrey Angus, Arnav Garg, Jeffery Kinnison, Alex Sherstinsky, Piero Molino, Travis Addair, Devvret Rishi:
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report. - Andy He, Darren Key, Mason Bulling, Andrew Chang, Skyler Shapiro, Everett Lee:
HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis. - Chenqi Guo, Shiwei Zhong, Xiaofeng Liu, Qianli Feng, Yinglong Ma:
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity Mechanism. - Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas:
Modeling Caption Diversity in Contrastive Vision-Language Pretraining. - Yi Li, Renyou Xie, Chaojie Li, Yi Wang, Zhaoyang Dong:
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks. - Nahal Sharafi, Christoph Martin, Sarah Hallerberg:
On the weight dynamics of learning networks. - Calarina Muslimani, Matthew E. Taylor:
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning. - Arsalan Sharifnassab, Sina Ghiassian, Saber Salehkaleybar, Surya Kanoria, Dale Schuurmans:
Soft Preference Optimization: Aligning Language Models to Expert Distributions. - Nam Wook Kim, Hyung-Kwon Ko, Grace Myers, Benjamin Bach:
ChatGPT in Data Visualization Education: A Student Perspective. - Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding:
More is Better: Deep Domain Adaptation with Multiple Sources. - Changjae Lee, Jinjun Xiong:
From Keyboard to Chatbot: An AI-powered Integration Platform with Large-Language Models for Teaching Computational Thinking for Young Children. - Nikolai Vogler, Kartik Goyal, Samuel V. Lemley, D. J. Schuldt, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
Clustering Running Titles to Understand the Printing of Early Modern Books. - Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers:
CLIPArTT: Light-weight Adaptation of CLIP to New Domains at Test Time. - Giacomo Cappiello, Filippo Caruso:
Quantum AI for Alzheimer's disease early screening. - Xiaoshi Wu, Yiming Hao, Manyuan Zhang, Keqiang Sun, Zhaoyang Huang, Guanglu Song, Yu Liu, Hongsheng Li:
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models. - Kenneth Smith, Sharlee Climer:
Improving Data Cleaning Using Discrete Optimization. - Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque:
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators. - Barak Battash, Amit Rozner, Lior Wolf, Ofir Lindenbaum:
Obtaining Favorable Layouts for Multiple Object Generation. - Adi Hendel, Meir Feder:
Error Exponent in Agnostic PAC Learning. - Karwan Mustafa Kareem:
The Impact of IMSI Catcher Deployments on Cellular Network Security: Challenges and Countermeasures in 4G and 5G Networks. - Shengze Wang, Xueting Li, Chao Liu, Matthew A. Chan, Michael Stengel, Josef B. Spjut, Henry Fuchs, Shalini De Mello, Koki Nagano:
Coherent 3D Portrait Video Reconstruction via Triplane Fusion. - Shenyu Zheng, Bram Adams, Ahmed E. Hassan:
Does Using Bazel Help Speed Up Continuous Integration Builds? - Jiahui Li, Tianle Shen, Zekai Gu, Jiawei Sun, Chengran Yuan, Yuhang Han, Shuo Sun, Marcelo H. Ang Jr.:
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties. - Scott Rome, Tianwen Chen, Raphael Tang, Luwei Zhou, Ferhan Ture:
"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time. - Lexing Ying:
A perturbative analysis for noisy spectral estimation. - Mireille Bossy, Kerlyns Martinez-Rodriguez:
Strong convergence of the exponential Euler scheme for SDEs with superlinear growth coefficients and one-sided Lipschitz drift. - Michael A. Bender, Alex Conway, Martín Farach-Colton, Hanna Komlós, Michal Koucký, William Kuszmaul, Michael E. Saks:
Nearly Optimal List Labeling. - Bowen Zhang, S. Shailja, Chandrakanth Gudavalli, Connor Levenson, Amil Khan, B. S. Manjunath:
ReeSPOT: Reeb Graph Models Semantic Patterns of Normalcy in Human Trajectories. - Stefanos Bakirtzis, Marco Fiore, Jie Zhang, Ian J. Wassell:
Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing. - Mark Ainsworth, Justin Dong:
Extended Galerkin neural network approximation of singular variational problems with error control. - Sharlee Climer, Kenneth Smith, Wei Yang, Lisa de las Fuentes, Victor G. Dávila-Román, C. Charles Gu:
Sifting out communities in large sparse networks. - Kinter Ren, Mohammad R. Salavatipour:
Approximation Schemes for Orienteering and Deadline TSP in Doubling Metrics. - Ortal Hirszowicz, Dvir Aran:
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis. - Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao:
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. - Gregorios A. Katsios, Ning Sa, Ankita Bhaumik, Tomek Strzalkowski:
Uncovering Agendas: A Novel French & English Dataset for Agenda Detection on Social Media. - Zewen Yang, Xiaobing Dai, Weijie Yang, Bahar Ilgen, Aleksandar Anzel, Georges Hattab:
Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations. - Olly Styles, Sam Miller, Patricio Cerda-Mardini, Tanaya Guha, Victor Sanchez, Bertie Vidgen:
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting. - Kirandeep Kaur, Chirag Shah:
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations. - Alkida Balliu, Thomas Boudier, Sebastian Brandt, Dennis Olivetti:
Tight Lower Bounds in the Supported LOCAL Model. - Peter Bradshaw, Alexander Clow, Ladislav Stacho:
Cornering Robots to Synchronize a DFA. - Arman Irani, Ju Yeon Park, Kevin M. Esterling, Michalis Faloutsos:
WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining. - Erik Kennerland, Bengt Lindoff, Emil Björnson:
Analysis of Quantization Noise Suppression Gains in Digital Phased Arrays. - Jonathan Liu, Seth Poulsen, Erica Goodwin, Hongxuan Chen, Grace Williams, Yael Gertner, Diana Franklin:
Teaching Algorithm Design: A Literature Review. - Marshall Mueller, James M. Murphy, Abiy Tasissa:
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations. - Seyed Mahmoud Sajjadi Mohammadabadi, Lei Yang, Feng Yan, Junshan Zhang:
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning. - Juncheng Li, David J. Cappelleri:
Sim-Grasp: Learning 6-DOF Grasp Policies for Cluttered Environments Using a Synthetic Benchmark. - Sowmya S. Sundaram, Balaji Alwar:
Can a Hallucinating Model help in Reducing Human "Hallucination"? - Ismael Martinez, Abdelhakim Senhaji Hafid, Michel Gendreau:
A Blockchain-Based Audit Mechanism for Trust and Integrity in IoT-Fog Environments. - Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime F. Fisac:
Gameplay Filters: Safe Robot Walking through Adversarial Imagination. - Marco Bressan, Emmanuel Esposito, Maximilian Thiessen:
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs. - Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos:
Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer. - Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar, Shefalika Gautam, Reza Saadati Fard, Bengisu Tulu, Diane M. Strong:
Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers. - Randy Connolly:
Public Computing Intellectuals in the Age of AI Crisis. - Jaewook Lee, Digory Smith, Simon Woodhead, Andrew S. Lan:
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration. - Ryan Klemm, Bo Chen:
Hiding Sensitive Information Using PDF Steganography. - Ibrahima Sory Sow, Geordan Gutow, Howie Choset, Zachary Manchester:
A Convex Formulation of the Soft-Capture Problem. - Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate:
Learning to Boost the Performance of Stable Nonlinear Systems. - Milad Moradi, Ke Yan, David Colwell, Rhona Asgari:
Artificial intelligence for context-aware visual change detection in software test automation. - Prateek Verma, Minh-Hao Van, Xintao Wu:
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis. - (Withdrawn) Markov flow policy - deep MC.
- Burak Can Biner, Farrin Marouf Sofian, Umur Berkay Karakas, Duygu Ceylan, Erkut Erdem, Aykut Erdem:
SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models. - Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Machine Learning Techniques for Data Reduction of Climate Applications. - Zehui Lu, Yebin Wang:
A Differentiable Dynamic Modeling Approach to Integrated Motion Planning and Actuator Physical Design for Mobile Manipulators. - Huai-an Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Xin Fu, Miao Pan:
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling. - Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin:
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. - Colby R. Banbury, Emil J. Njor, Matthew Stewart, Pete Warden, Manjunath Kudlur, Nat Jeffries, Xenofon Fafoutis, Vijay Janapa Reddi:
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection. - Surabhi S. Nath, Peter Dayan, Claire E. Stevenson:
Characterising the Creative Process in Humans and Large Language Models. - Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, Buyu Liu, Xiaohui Xie, Manmohan Chandraker:
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes. - Shruthi Sai Chivukula, Colin M. Gray:
Using Schema to Inform Method Design Practices. - Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang:
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. - Ayaz Mehmood, Muhammad Tayyab Zamir, Muhammad Asif Ayub, Nasir Ahmad, Kashif Ahmad:
A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media. - Pranshul Thakur, Siva Nadarajah:
Adjoint-based goal-oriented implicit shock tracking using full space mesh optimization. - Ojasw Upadhyay:
LOTUS: Improving Transformer Efficiency with Sparsity Pruning and Data Lottery Tickets. - K. Yeh, M. S. Jabal, V. Gupta, David F. Kallmes, Waleed Brinjikji, Barbaros S. Erdal:
Transformer-Based Self-Supervised Learning for Histopathological Classification of Ischemic Stroke Clot Origin. - Shiva Raj Pokhrel, Naman Yash, Jonathan Kua, Gang Li, Lei Pan:
Quantum Federated Learning Experiments in the Cloud with Data Encoding. - Nicholas Tenev:
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data. - (Withdrawn) Unification in the description logic 𝓕ℒ⊥.
- Guangyao Zhai, Evin Pinar Örnek, Dave Zhenyu Chen, Ruotong Liao, Yan Di, Nassir Navab, Federico Tombari, Benjamin Busam:
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion. - Steffen van Bergerem, Roland Guttenberg, Sandra Kiefer, Corto Mascle, Nicolas Waldburger, Chana Weil-Kennedy:
Verification of Population Protocols with Unordered Data. - Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka:
MTDT: A Multi-Task Deep Learning Digital Twin. - Wei Ren, Raphaël M. Jungers, Dimos V. Dimarogonas:
Zonotope-based Symbolic Controller Synthesis for Linear Temporal Logic Specifications. - Pengcheng Li, Jianzong Wang, Xulong Zhang, Yong Zhang, Jing Xiao, Ning Cheng:
MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion. - Chen Wang, Chao Wang:
Efficient Computation for Invertibility Sequence of Banded Toeplitz Matrices. - Sanjoy Dasgupta, Eduardo Sany Laber:
New bounds on the cohesion of complete-link and other linkage methods for agglomeration clustering. - Jacob Yenney, Weichen Liu, Ying Choon Wu:
Virtual Psychedelia. - Rachel Anderson, Bin Fu, Aiden Massie, Gourab Mukhopadhyay, Adrian Salinas, Robert T. Schweller, Evan Tomai, Tim Wylie:
Computing Threshold Circuits with Bimolecular Void Reactions in Step Chemical Reaction Networks. - Somesh Singh, Harini S. I, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs. - Akiyoshi Uchida, Kentaro Uno, Kazuya Yoshida:
Space Debris Reliable Capturing by a Dual-Arm Orbital Robot: Detumbling and Caging. - Tian Han, Peter J. Smith, Urbashi Mitra, Jamie S. Evans, Rajitha Senanayake:
Can FSK Be Optimised for Integrated Sensing and Communications? - Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang:
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters. - Jiamin Yang, David Jurgens:
Modeling Empathetic Alignment in Conversation. - Youngmin Lee, Andrew S. I. D. Lang, Cai Duoduo, Wheat R. Stephen:
The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA. - Guojun Xiong, Jian Li:
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback. - Katherine Henneberger, Jing Qin:
Hyperspectral Band Selection based on Generalized 3DTV and Tensor CUR Decomposition. - Yiwei Ma, Zhekai Lin, Jiayi Ji, Yijun Fan, Xiaoshuai Sun, Rongrong Ji:
X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation. - Huancheng Chen, Haris Vikalo:
Recovering Labels from Local Updates in Federated Learning. - Zhenya Yang, Kai Chen, Yonghao Long, Qi Dou:
Efficient Data-driven Scene Simulation using Robotic Surgery Videos via Physics-embedded 3D Gaussians. - Shenghe Zheng, Hongzhi Wang, Xianglong Liu:
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors. - (Withdrawn) Generative manufacturing systems using diffusion models and ChatGPT.
- Regina Hurley, Dan Maxwell, Jon McLellan, Finn Wilson, John Beverley:
Foundations for Digital Twins. - Honglong Yang, Hui Tang, Xiaomeng Li:
FITA: Fine-grained Image-Text Aligner for Radiology Report Generation. - Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani:
Robust Decentralized Learning with Local Updates and Gradient Tracking. - Thomas Palmeira Ferraz:
Efficient Compression of Multitask Multilingual Speech Models. - Jionghao Lin, Zifei FeiFei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger:
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. - Andrew D. McNaughton, Gautham Ramalaxmi, Agustin Kruel, Carter R. Knutson, Rohith Anand Varikoti, Neeraj Kumar:
CACTUS: Chemistry Agent Connecting Tool-Usage to Science. - Yiming Xu, Xiaohua Ge, Ruohan Guo, Weixiang Shen:
Active Cell Balancing for Extended Operational Time of Lithium-Ion Battery Systems in Energy Storage Applications. - Dawn J. Lawrie, Efsun Selin Kayi, Eugene Yang, James Mayfield, Douglas W. Oard:
PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval. - Eugene Yang, Dawn J. Lawrie, James Mayfield:
Distillation for Multilingual Information Retrieval. - Eugene Yang, Thomas Jänich, James Mayfield, Dawn J. Lawrie:
Language Fairness in Multilingual Information Retrieval. - Namhyun Kim, Jeonghun Park:
Splitting Messages in the Dark- Rate-Splitting Multiple Access for FDD Massive MIMO Without CSI Feedback. - Zhe Niu, Ronglai Zuo, Brian Mak, Fangyun Wei:
A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News. - David Eric Austin, Anton Korikov, Armin Toroghi, Scott Sanner:
Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation. - James Mayfield, Eugene Yang, Dawn J. Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Selin Kayi, Kate Sanders, Marc Mason, Noah Hibbler:
On the Evaluation of Machine-Generated Reports. - Peng Chu, Jiang Wang, Andre Abrantes:
LLM-AD: Large Language Model based Audio Description System. - Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao:
FREE: Faster and Better Data-Free Meta-Learning. - Sicong Wang, Kuo Gai, Shihua Zhang:
Progressive Feedforward Collapse of ResNet Training. - Minjin Choi, Hye-young Kim, Hyunsouk Cho, Jongwuk Lee:
Multi-intent-aware Session-based Recommendation. - Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla:
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. - Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy:
Context-Aware Clustering using Large Language Models. - Xin Yan:
Estimate the building height at a 10-meter resolution based on Sentinel data. - Afsaneh Razi, Layla Bouzoubaa, Aria Pessianzadeh, John S. Seberger, Rezvaneh Rezapour:
Not a Swiss Army Knife: Academics' Perceptions of Trade-Offs Around Generative Artificial Intelligence Use. - Chris Chinenye Emezue, Ifeoma Okoh, Chinedu E. Mbonu, Chiamaka Chukwuneke, Daisy Monika Lal, Ignatius Ezeani, Paul Rayson, Ijemma Onwuzulike, Chukwuma Onyebuchi Okeke, Gerald Okey Nweya, Bright Ikechukwu Ogbonna, Chukwuebuka Uchenna Oraegbunam, Esther Chidinma Awo-Ndubuisi, Akudo Amarachukwu Osuagwu, Obioha Nmezi:
The IgboAPI Dataset: Empowering Igbo Language Technologies through Multi-dialectal Enrichment. - Yuhang Huang, SHilong Zou, Xinwang Liu, Kai Xu:
Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields. - Sivadeep R. Kalavakuru, Navid P. Gandji, Jonathan P. Cyphert:
A Novel Wideband and Wide Beam High Gain Unidirectional Dipole Antenna for Next Generation WLAN Applications. - Shicong Liu, Xianghao Yu:
Low-Complexity Near-Field Localization with XL-MIMO Sectored Uniform Circular Arrays. - Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu:
Spider: A Unified Framework for Context-dependent Concept Segmentation. - Aditya Chakravarty:
Deep Learning Models in Speech Recognition: Measuring GPU Energy Consumption, Impact of Noise and Model Quantization for Edge Deployment. - Yongqin Fu, Xianbin Wang:
Multi-User Multi-Application Packet Scheduling for Application-Specific QoE Enhancement Based on Knowledge-Embedded DDPG in 6G RAN. - Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan A. Rossi, Cherry Zhao, Vlad I. Morariu, Varun Manjunatha, Soheil Feizi:
On Mechanistic Knowledge Localization in Text-to-Image Generative Models. - Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb:
Tackling Graph Oversquashing by Global and Local Non-Dissipativity. - Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde:
Efficient and Adaptive Posterior Sampling Algorithms for Bandits. - Mahdieh Zaker, Henk A. P. Blom, Sadegh Soudjani, Abolfazl Lavaei:
Rare Collision Risk Estimation of Autonomous Vehicles with Multi-Agent Situation Awareness. - Ziyad Benomar, Vianney Perchet:
Non-clairvoyant Scheduling with Partial Predictions. - Benjamin Doerr, Martin S. Krejca, Noé Weeks:
Proven Runtime Guarantees for How the MOEA/D Computes the Pareto Front From the Subproblem Solutions. - Minsu Kim, Giseop Kim, Sunwook Choi:
Addressing Diverging Training Costs using Local Restoration for Precise Bird's Eye View Map Construction. - Alberto Lillo, Alessandro Saracco, Elena Siletto, Claudio Mattutino, Cristina Gena:
Investigating the relationship between empathy and attribution of mental states to robots. - Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya:
QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management. - Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, YoungBin Kim:
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation. - Kiyoon Jeong, Woojun Lee, Woongchan Nam, Minjeong Ma, Pilsung Kang:
Technical Report of NICE Challenge at CVPR 2024: Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus Scores. - Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu:
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. - Jingkai Mao, Haoran Zhu, Junchao Fan, Lin Li, Xiaolin Chang:
Towards Trust Proof for Secure Confidential Virtual Machines. - Youssef Allouah, Anastasia Koloskova, Aymane El Firdoussi, Martin Jaggi, Rachid Guerraoui:
The Privacy Power of Correlated Noise in Decentralized Learning. - Seong-Joon Park, Heeyoul Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No:
CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes. - Milad Aghajohari, Juan Agustin Duque, Tim Cooijmans, Aaron C. Courville:
LOQA: Learning with Opponent Q-Learning Awareness. - Yasuko Matsui, Takeshi Naitoh, Ping Zhan:
A first efficient algorithm for enumerating all the extreme points of a bisubmodular polyhedron. - Anurag Kumar, Chinmay Bharti, Saikat Dutta, Srikrishna Karanam, Biplab Banerjee:
Few Shot Class Incremental Learning using Vision-Language models. - Tianyi Chen, Zhi-Qin John Xu:
Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation. - Wenhao Liu, Zhengyi Jiang, Zhongyi Huang, Linqi Song, Hanxu Hou:
Reed-Solomon Codes over Cyclic Polynomial Ring with Lower Encoding/Decoding Complexity. - Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, David Hsu:
Differentiable Particles for General-Purpose Deformable Object Manipulation. - Tero Vartiainen, Duong Dang, Mike Mekkanen, Emmanuel Anti:
Development of Cybersecurity Simulator-Based Platform for the Protection of Critical Infrastructures. - Yutan Huang:
Generating User Experience Based on Personas with AI Assistants. - Dominik Polke, Tim Kösters, Elmar Ahle, Dirk Söffker:
Polynomial Chaos Expanded Gaussian Process. - Jingyao Wang, Wenwen Qiang, Zeen Song, Lingyu Si, Jiangmeng Li, Changwen Zheng, Bing Su:
Explicitly Modeling Universality into Self-Supervised Learning. - Zhongzheng Qiao, Xuan Huy Pham, Savitha Ramasamy, Xudong Jiang, Erdal Kayacan, Andriy Sarabakha:
Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. - Yin Huang, Yongqi Dong, Youhua Tang, Li Li:
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction. - Trung Thanh Nguyen, Truong Thao Nguyen, Thanh Hung Nguyen, Phi Le Nguyen:
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing. - Tong Lei, Brian N. Bailey:
A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499 nm) bands. - Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He:
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. - Christian Birchler, Sajad Khatiri, Pooja Rani, Timo Kehrer, Sebastiano Panichella:
A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction. - Zhenyang Huang, Zhaojin Fu, Song Jintao, Genji Yuan, Jinjiang Li:
MFDS-Net: Multi-Scale Feature Depth-Supervised Network for Remote Sensing Change Detection with Global Semantic and Detail Information. - Zixun Jiao, Xihan Wang, Zhaoqiang Xia, Lianhe Shao, Quanli Gao:
HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images. - Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas Kiefer, Muhammed Öz, Charlotte Debus, Achim Streit, Markus Götz:
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning. - Christopher Kermorvant, Eva Bardou, Manon Blanco, Bastien Abadie:
Callico: a Versatile Open-Source Document Image Annotation Platform. - Sonakshi Garg, Hugo Jönsson, Gustav Kalander, Axel Nilsson, Bhhaanu Pirange, Viktor Valadi, Johan Östman:
Poisoning Attacks on Federated Learning for Autonomous Driving. - Erik G. Larsson, Jianan Bai:
Stability Analysis of Interacting Wireless Repeaters. - Robert Hahn, Erik Schnaubelt, Mariusz Wozniak, Christophe Geuzaine, Sebastian Schöps:
Mortar Thin Shell Approximation for Analysis of Superconducting Accelerator Magnets. - Lukas Weissinger, Simon Hubmer, Bernadett Stadler, Ronny Ramlau:
Singular Value and Frame Decomposition-based Reconstruction for Atmospheric Tomography. - Yooshin Kim, Namhyeok Kwon, Donghoon Shin:
KDPrint: Passive Authentication using Keystroke Dynamics-to-Image Encoding via Standardization. - Herbert Egger, Felix Engertsberger, Bogdan Radu:
A reduced scalar potential approach for magnetostatics avoiding the coenergy. - Nianzu Qiao, Lamei Di, Changyin Sun:
MCMS: Multi-Category Information and Multi-Scale Stripe Attention for Blind Motion Deblurring. - Nianzu Qiao, Lamei Di, Changyin Sun:
Single Image Super-Resolution Based on Global-Local Information Synergy. - Xinhua Wang, Xuerui Mao:
Non-overshooting sliding mode for UAV control. - Nahuel González, Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana:
Type2Branch: Keystroke Biometrics based on a Dual-branch Architecture with Attention Mechanisms and Set2set Loss. - Masatoshi Tateno, Takuma Yagi, Ryosuke Furuta, Yoichi Sato:
Learning Object States from Actions via Large Language Models. - Leo van Iersel, Mark Jones, Jannik Schestag, Céline Scornavacca, Mathias Weller:
Maximizing Network Phylogenetic Diversity. - Gérard Henry Edmond Duchamp, Christophe Tollu, Jean-Gabriel Luque, Vu Nguyen Dinh:
About enveloping algebras of direct sums. - Callum Umana Stuart, Idris Kempf:
Closed-Loop Sensitivity Identification for Cross-Directional Systems. - Muhammad Ahmad, Manuel Mazzara, Salvatore Distifano:
Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification. - Dimitri Staufer, Frank Pallas, Bettina Berendt:
Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-Identification. - Quang-Huy Che, Le-Chuong Nguyen, Vinh-Tiep Nguyen:
Enhancing Person Re-Identification via Uncertainty Feature Fusion and Wise Distance Aggregation. - Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi:
Less is More: on the Over-Globalizing Problem in Graph Transformers. - Arya Kavian, Mohammad Mehdi Pourhashem Kallehbasti, Sajjad Kazemi, Ehsan Firouzi, Mohammad Ghafari:
LLM Security Guard for Code. - Ziqing Wang, Hongzheng Liu, Jianan Zhang, Rujing Xiong, Kai Wan, Xuewen Qian, Marco Di Renzo, Robert Caiming Qiu:
Multi-user ISAC through Stacked Intelligent Metasurfaces: New Algorithms and Experiments. - Matthias Streller, Sona Michlíková, Willy Ciecior, Katharina Lönnecke, Leoni A. Kunz-Schughart, Steffen Lange, Anja Voss-Böhme:
Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks. - Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok:
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. - Ahmad Khalil, Tizian Dege, Pegah Golchin, Rostyslav Olshevskyi, Antonio Fernández Anta, Tobias Meuser:
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection. - Kehan Shi, Martin Burger:
Hypergraph p-Laplacian regularization on point clouds for data interpolation. - Arash Mazidi, Davide Corradini, Mohammad Ghafari:
Mining REST APIs for Potential Mass Assignment Vulnerabilities. - Wenxuan Guo, Zhiyu Pan, Ziheng Xi, Alapati Tuerxun, Jianjiang Feng, Jie Zhou:
Sports Analysis and VR Viewing System Based on Player Tracking and Pose Estimation with Multimodal and Multiview Sensors. - Seungyeop Lee, Knut Peterson, Solmaz Arezoomandan, Bill Cai, Peihan Li, Lifeng Zhou, David Han:
Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation. - Sharmita Dey, Benjamin Paassen, Sarath R. Nair, Sabri Boughorbel, Arndt F. Schilling:
Continual Imitation Learning for Prosthetic Limbs. - Hongliang Zhang, Yilan Zhou, Lei Wang, Tengchao Huang:
A New Self-Alignment Method without Solving Wahba Problem for SINS in Autonomous Vehicles. - Andrew Parry, Debasis Ganguly, Manish Chandra:
"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval". - Antonio Mallia, Torsten Suel, Nicola Tonellotto:
Faster Learned Sparse Retrieval with Block-Max Pruning. - Lorenzo Pisu, Davide Maiorca, Giorgio Giacinto:
A Survey of the Overlooked Dangers of Template Engines. - Yongqi Dong, Chang Liu, Yiyun Wang, Zhe Fu:
Towards Understanding Worldwide Cross-cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap. - Lotem Golany, Filippo Galgani, Maya Mamo, Nimrod Parasol, Omer Vandsburger, Nadav Bar, Ido Dagan:
Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts. - Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis:
Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023. - Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
Lipschitz constant estimation for general neural network architectures using control tools. - Alexander Geiger, Lars Wagner, Daniel Rueckert, Dirk Wilhelm, Alissa Jell:
Detecting and clustering swallow events in esophageal long-term high-resolution manometry. - Mohammad Mahmudul Alam, Negin Sokhandan, Emmett Goodman:
Automated Virtual Product Placement and Assessment in Images using Diffusion Models. - Andrej Orsula, Matthieu Geist, Miguel A. Olivares-Méndez, Carol Chamorro-Martínez:
Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space. - Qingchao Li, Mohammed El-Hajjar, Yanshi Sun, Ibrahim A. Hemadeh, Yingming Tsai, Arman Shojaeifard, Lajos Hanzo:
Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems. - Brielen Madureira, David Schlangen:
It Couldn't Help But Overhear: On the Limits of Modelling Meta-Communicative Grounding Acts with Supervised Learning. - Yipeng Li, Xinchen Lyu:
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data. - Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Mohammad Aliannejadi, Andrew Yates, Maarten de Rijke:
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? - Niousha Nazemi, Omid Tavallaie, Shuaijun Chen, Albert Y. Zomaya, Ralph Holz:
Boosting Communication Efficiency of Federated Learning's Secure Aggregation. - Matthias Barkowsky, Holger Giese:
Localized RETE for Incremental Graph Queries. - Qingchao Li, Mohammed El-Hajjar, Yanshi Sun, Ibrahim A. Hemadeh, Arman Shojaeifard, Lajos Hanzo:
Energy-Efficient Reconfigurable Holographic Surfaces Operating in the Presence of Realistic Hardware Impairments. - Boris van Breugel, Mihaela van der Schaar:
Why Tabular Foundation Models Should Be a Research Priority. - Yuma Abe, Flor Ortiz, Eva Lagunas, Victor Monzon Baeza, Symeon Chatzinotas, Hiroyuki Tsuji:
Optimizing Satellite Network Infrastructure: A Joint Approach to Gateway Placement and Routing. - Qingchao Li, Mohammed El-Hajjar, Yanshi Sun, Lajos Hanzo:
Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-Free Networks Under Hardware Impairments. - Miruna T. Cretu, Charles Harris, Julien Roy, Emmanuel Bengio, Pietro Liò:
SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways. - Saahil Islam, Venkatesh N. Murthy, Dominik Neumann, Badhan Kumar Das, Puneet Sharma, Andreas K. Maier, Dorin Comaniciu, Florin C. Ghesu:
Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers. - Harshit Dhankar, Kshitij Mishra, Tejas Bodas:
Tabular and Deep Reinforcement Learning for Gittins Index. - Davide Frizzo, Francesco Borsatti, Alessio Arcudi, Antonio De Moliner, Roberto Oboe, Gian Antonio Susto:
Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI. - Aleksei Dorkin, Kairit Sirts:
TartuNLP at EvaLatin 2024: Emotion Polarity Detection. - Matteo Ottaviani, Stefan M. Herzog, Pietro Leonardo Nickl, Philipp Lorenz-Spreen:
How A/B testing changes the dynamics of information spreading on a social network. - Qingchao Li, Mohammed El-Hajjar, Lajos Hanzo:
Ergodic Spectral Efficiency Analysis of Intelligent Omni-Surface Aided Systems Suffering From Imperfect CSI and Hardware Impairments. - Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression. - Itamar Jacoby, Ram Zamir:
Frame Codes for the Block-Erasure Channel. - Takahito Aoto, Naoki Nishida, Jonas Schöpf:
Equational Theories and Validity for Logically Constrained Term Rewriting (Full Version). - Zijia Wang, Wenbin Yang, Zhisong Liu, Zhen Jia:
Uncertainty-aware self-training with expectation maximization basis transformation. - Finn Klessascheck, Ingo Weber, Luise Pufahl:
SOPA: A Framework for Sustainability-Oriented Process Analysis and Re-design in Business Process Management. - Shaun Azzopardi, David Lidell, Nir Piterman:
A Direct Translation from LTL with Past to Deterministic Rabin Automata. - Katharina Klost, Wolfgang Mulzer:
Robust Algorithms for Finding Triangles and Computing the Girth in Unit Disk and Transmission Graphs. - Christoph Haase, Shankara Narayanan Krishna, Khushraj Madnani, Om Swostik Mishra, Georg Zetzsche:
An efficient quantifier elimination procedure for Presburger arithmetic. - Ondrej Faltus, Martin Horák, Martin Doskár, Ondrej Rokos:
Third Medium Finite Element Contact Formulation for Pneumatically Actuated Systems. - Zijia Wang, Wenbin Yang, Zhisong Liu, Zhen Jia:
Potential Energy based Mixture Model for Noisy Label Learning. - Chris Xing Tian, Yibing Liu, Haoliang Li, Ray C. C. Cheung, Shiqi Wang:
Gradient-Congruity Guided Federated Sparse Training. - Quentin Gontier, Charles Wiame, Joe Wiart, François Horlin, Christo Tsigros, Claude Oestges, Philippe De Doncker:
Stochastic Geometry Analysis of EMF Exposure of Idle Users and Network Performance with Dynamic Beamforming. - Abdallah Ayad, Adrian Röfer, Nick Heppert, Abhinav Valada:
Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional Signals. - Mikkel Jordahn, Pablo M. Olmos:
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks. - Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork:
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies. - Zhiyu Pan, Yongjie Duan, Xiongjun Guan, Jianjiang Feng, Jie Zhou:
Latent Fingerprint Matching via Dense Minutia Descriptor. - Mei Yang, Gao Qiu, Junyong Liu, Kai Liu:
Learning-to-solve unit commitment based on few-shot physics-guided spatial-temporal graph convolution network. - Yanjing Yang, Xin Zhou, Runfeng Mao, Jinwei Xu, Lanxin Yang, Yu Zhangm, Haifeng Shen, He Zhang:
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection. - Yu Zhou, Xiahao Zou, Yi Wang:
Towards Cross-Scale Attention and Surface Supervision for Fractured Bone Segmentation in CT. - Pedro Mendes, Paolo Romano, David Garlan:
Error-Driven Uncertainty Aware Training. - Francisco Teixeira, Karla Pizzi, Raphaël Olivier, Alberto Abad, Bhiksha Raj, Isabel Trancoso:
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features. - Wenyan Ma, Lipeng Zhu, Rui Zhang:
Movable Antenna Enhanced Wireless Sensing Via Antenna Position Optimization. - Wei Sun, Mingxiao Li, Jingyuan Sun, Jesse Davis, Marie-Francine Moens:
DMON: A Simple yet Effective Approach for Argument Structure Learning. - Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu:
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation. - Shiva Ghasemi, Majid Behravan, Sunday Uber, Denis Gracanin:
Attention and Sensory Processing in Augmented Reality: Empowering ADHD population. - Shaolong Guo, Yuntao Wang, Ning Zhang, Zhou Su, Tom H. Luan, Zhiyi Tian, Xuemin Shen:
A Survey on Semantic Communication Networks: Architecture, Security, and Privacy. - Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck:
Avoiding Redundant Restarts in Multimodal Global Optimization. - Heng Li, Haojin Li, Jianyu Chen, Zhongxi Qiu, Huazhu Fu, Lidai Wang, Yan Hu, Jiang Liu:
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation. - Yihao Zhang, Zeming Wei:
Boosting Jailbreak Attack with Momentum. - Nhi Nguyen, Le Ngu Nguyen, Honghan Li, Miguel Bordallo López, Constantino Álvarez Casado:
Evaluation of Video-Based rPPG in Challenging Environments: Artifact Mitigation and Network Resilience. - Bozheng Pang, Tim Claeys, Hans Hallez, Jeroen Boydens:
Modeling the Trade-off between Throughput and Reliability in a Bluetooth Low Energy Connection. - Yueyuan Sui, Minghui Zhao, Junxi Xia, Xiaofan Jiang, Stephen Xia:
TRAMBA: A Hybrid Transformer and Mamba Architecture for Practical Audio and Bone Conduction Speech Super Resolution and Enhancement on Mobile and Wearable Platforms. - Brian Weber:
Stability of Information in the Heat Flow Clustering. - Daniele Castellana:
Lying Graph Convolution: Learning to Lie for Node Classification Tasks. - Ye Tian, Zhen Jia, Ziyue Luo, Yida Wang, Chuan Wu:
DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines. - Jamil Zaghir, Marco Naguib, Mina Bjelogrlic, Aurélie Névéol, Xavier Tannier, Christian Lovis:
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices. - Jiaxi Li, John-Joseph Brady, Xiongjie Chen, Yunpeng Li:
Revisiting semi-supervised training objectives for differentiable particle filters. - Kai Luo, Hao Wu, Kefu Yi, Kailun Yang, Wei Hao, Rongdong Hu:
Towards Consistent Object Detection via LiDAR-Camera Synergy. - Xuyao Feng, Anthony Hunter:
Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach. - Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed:
Causal Influence in Federated Edge Inference. - Richard M. Bailey:
Continuously evolving rewards in an open-ended environment. - Damiano Carra, Giovanni Neglia:
An Online Gradient-Based Caching Policy with Logarithmic Complexity and Regret Guarantees. - Ki-Wook Jung, Sang-Don Lee, Cheol-Goo Jung, Chang-Hun Lee:
Model Predictive Guidance for Fuel-Optimal Landing of Reusable Launch Vehicles. - Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Bonan Wang, Dongping Liao, Guofa Li, Chengzhong Xu:
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. - Param Rajpura, Yogesh Kumar Meena:
Towards Optimising EEG Decoding using Post-hoc Explanations and Domain Knowledge. - Nairouz Shehata, Carolina Piçarra, Anees Kazi, Ben Glocker:
The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks. - Praveen Kumar Chandaliya, Kiran B. Raja, Raghavendra Ramachandra, Zahid Akhtar, Christoph Busch:
Towards Inclusive Face Recognition Through Synthetic Ethnicity Alteration. - Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena:
Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance. - Quentin De Coninck:
Core QUIC: Enabling Dynamic, Implementation-Agnostic Protocol Extensions. - Hao Wang, Tetsuro Morimura, Ukyo Honda, Daisuke Kawahara:
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation. - Qiyuan Liu:
Behavior Imitation for Manipulator Control and Grasping with Deep Reinforcement Learning. - Lauren F. Klein, Catherine D'Ignazio:
Data Feminism for AI. - Peter Mell, Irena Bojanova, Carlos Cardoso Galhardo:
Measuring the Exploitation of Weaknesses in the Wild. - Ramon Elias Weber, Caitlin Mueller, Christoph F. Reinhart:
A hypergraph model shows the carbon reduction potential of effective space use in housing. - Liam Lonergan, Mengjie Qian, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide:
Low-resource speech recognition and dialect identification of Irish in a multi-task framework. - Erin C. Carson, Kathryn Lund, Yuxin Ma, Eda Oktay:
Reorthogonalized Pythagorean variants of block classical Gram-Schmidt. - Maja Pavlovic, Massimo Poesio:
The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation. - Angelo Feraudo, Andrea Garbugli, Paolo Bellavista:
Controlling Communications Quality in V2V Platooning: a TSN-like Slot-Based Scheduler Approach. - Madison Cotteret, Hugh Greatorex, Alpha Renner, Junren Chen, Emre Neftci, Huaqiang Wu, Giacomo Indiveri, Martin Ziegler, Elisabetta Chicca:
Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware. - Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Chunheng Jiang, Jianxi Gao:
Graph is all you need? Lightweight data-agnostic neural architecture search without training. - Li Huang, Bertrand Meyer, Ilgiz Mustafin, Manuel Oriol:
Execution-free Program Repair. - Selva Kumar S, Afifah Khan Mohammed Ajmal Khan, Imadh Ajaz Banday, Manikantha Gada, Vibha Venkatesh Shanbhag:
Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation. - Shanshan Zhang, Mingqian Ji, Yang Li, Jian Yang:
Imagine the Unseen: Occluded Pedestrian Detection via Adversarial Feature Completion. - Yongrui Zhong, Yunqing Ge, Jianbin Qin, Shuyuan Zheng, Bo Tang, Yu-Xuan Qiu, Rui Mao, Ye Yuan, Makoto Onizuka, Chuan Xiao:
Privacy-Enhanced Database Synthesis for Benchmark Publishing. - Hyeonsu Lyu, Jonggyu Jang, Harim Lee, Hyun Jong Yang:
Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network. - Kai Huang, Junqiao Zhao, Jiaye Lin, Zhongyang Zhu, Shuangfu Song, Chen Ye, Tiantian Feng:
LOG-LIO2: A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis. - Jiangce Chen, Wenzhuo Xu, Zeda Xu, Noelia Grande Gutiérrez, Sneha Prabha Narra, Christopher McComb:
Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs. - Robert Freiman, Carlos Olarte, Elaine Pimentel, Christian G. Fermüller:
Reasoning About Group Polarization: From Semantic Games to Sequent Systems. - Philipp Meyer, Timo Häckel, Teresa Lübeck, Franz Korf, Thomas C. Schmidt:
A Framework for the Systematic Assessment of Anomaly Detectors in Time-Sensitive Automotive Networks. - Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren, Han Yu:
Multi-modal Learnable Queries for Image Aesthetics Assessment. - Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou:
Constrained Reinforcement Learning Under Model Mismatch. - Yuankai He, Hanlin Chen, Weisong Shi:
An Advanced Framework for Ultra-Realistic Simulation and Digital Twinning for Autonomous Vehicles. - Sen Yang, Kartik Nayak, Fan Zhang:
Decentralization of Ethereum's Builder Market. - Guangming Wang, Lei Pan, Songyou Peng, Shaohui Liu, Chenfeng Xu, Yanzi Miao, Wei Zhan, Masayoshi Tomizuka, Marc Pollefeys, Hesheng Wang:
NeRF in Robotics: A Survey. - Hoang-Quan Nguyen, Thanh-Dat Truong, Khoa Luu:
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy. - Nikhil Bansal, Vincent Cohen-Addad, Milind Prabhu, David Saulpic, Chris Schwiegelshohn:
Sensitivity Sampling for k-Means: Worst Case and Stability Optimal Coreset Bounds. - Florent Foucaud, Esther Galby, Liana Khazaliya, Shaohua Li, Fionn Mc Inerney, Roohani Sharma, Prafullkumar Tale:
Metric Dimension and Geodetic Set Parameterized by Vertex Cover. - Wenhao Zhu, Shujian Huang, Fei Yuan, Cheng Chen, Jiajun Chen, Alexandra Birch:
The Power of Question Translation Training in Multilingual Reasoning: Broadened Scope and Deepened Insights. - Xingyuan Chen, Gonçalo Dos Reis, Wolfgang Stockinger, Zac Wilde:
Improved weak convergence for the long time simulation of Mean-field Langevin equations. - Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal:
Position Paper: Beyond Robustness Against Single Attack Types. - Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura:
Community-Invariant Graph Contrastive Learning.