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ORCIDCoRR, February 2022
- Samuele Marro, Luca Donno:
Green NFTs: A Study on the Environmental Impact of Cryptoart Technologies. - John Chiang:
On Polynomial Approximation of Activation Function. - Daryll Ralph D'Costa, Robert Abbas:
5G enabled Mobile Edge Computing security for Autonomous Vehicles. - Chi Hong, Jiyue Huang, Lydia Y. Chen:
MEGA: Model Stealing via Collaborative Generator-Substitute Networks. - Sayantan Kumar:
Identifying Interpretable Clinical Subtypes withinHeterogeneous Dementia Clinic Population. - Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Learning Fair Representations via Rate-Distortion Maximization. - Natasha Alkhatib, Maria Mushtaq, Hadi Ghauch, Jean-Luc Danger:
AVTPnet: Convolutional Autoencoder for AVTP anomaly detection in Automotive Ethernet Networks. - Stella Bounareli, Vasileios Argyriou, Georgios Tzimiropoulos:
Finding Directions in GAN's Latent Space for Neural Face Reenactment. - Zhenpeng Zhao, Niklas Elmqvist:
The Stories We Tell About Data: Media Types for Data-Driven Storytelling. - Soroor Shekarizadeh, Razieh Rastgoo, Saif Al-Kuwari, Mohammad Sabokrou:
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data. - Shivam Garg, Alexander Ihler, Sunil Kumar:
Accurate Link Lifetime Computation in Autonomous Airborne UAV Networks. - Md Rajib Hossen, Mohammad A. Islam:
A Lightweight Workload-Aware Microservices Autoscaling with QoS Assurance. - Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener:
SnAKe: Bayesian Optimization with Pathwise Exploration. - Andrea Medaglia, Andrea Tosin, Mattia Zanella:
Monte Carlo stochastic Galerkin methods for non-Maxwellian kinetic models of multiagent systems with uncertainties. - Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun:
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach. - Moeen Mostafavi, Michael D. Porter, Dawn T. Robinson:
Learning affective meanings that derives the social behavior using Bidirectional Encoder Representations from Transformers. - Anders Sundnes Løvlie, Astrid Waagstein, Peter Hyldgård:
"How trustworthy is this research?" Designing a Tool to Help Readers Understand Evidence and Uncertainty in Science Journalism. - Ege Berkay Gulcan, Fazli Can:
Implicit Concept Drift Detection for Multi-label Data Streams. - Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun:
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. - Tiangang Cui, Xin Tong, Olivier Zahm:
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems. - Zihui Xue, Yuedong Yang, Mengtian Yang, Radu Marculescu:
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning. - Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson:
You May Not Need Ratio Clipping in PPO. - Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO. - Elynn Y. Chen, Rui Song, Michael I. Jordan:
Reinforcement Learning with Heterogeneous Data: Estimation and Inference. - Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona:
Understanding AdamW through Proximal Methods and Scale-Freeness. - Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe:
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. - Bao Tran Truong, Oliver Melbourne Allen, Filippo Menczer:
News Sharing Networks Expose Information Polluters on Social Media. - Ruo-Qian Wang, Yangmin Ding:
Semi-supervised Identification and Mapping of Surface Water Extent using Street-level Monitoring Videos. - Amir Shirian, Krishna Somandepalli, Tanaya Guha:
Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data. - Mohammad Amin Haghpanah, Ehsan Saeedizade, Mehdi Tale Masouleh, Ahmad Kalhor:
Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks. - Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson:
Generalization in Cooperative Multi-Agent Systems. - Andrew Corbett, Dmitry Kangin:
Imbedding Deep Neural Networks. - Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics. - Aleksandr Perevalov, Dennis Diefenbach, Ricardo Usbeck, Andreas Both:
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers. - B. G. Kodge:
3D Visualization and Spatial Data Mining for Analysis of LULC Images. - Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty:
Handling Bias in Toxic Speech Detection: A Survey. - Shirin Panahi, Nelson Amaya, Isaac S. Klickstein, Galen Novello, Francesco Sorrentino:
Reply to comment on "Failure of the simultaneous block diagonalization technique applied to complete and cluster synchronization of random networks". - Anirudha Majumdar, Vincent Pacelli:
Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. - Jeff A. Bilmes:
Submodularity In Machine Learning and Artificial Intelligence. - Steven Platt, Berkay Demirel, Miquel Oliver:
Using Transition Learning to Enhance Mobile-Controlled Handoff In Decentralized Future Networks. - Alexey V. Lebedev, Ilya Vorobyev, Vladimir S. Lebedev, Christian Deppe:
Non-adaptive and two-stage coding over the Z-channel. - Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Timo Schenk, Adrian Lars Benjamin Iten, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors. - Pedro H. Azevedo de Amorim:
A Sampling-Aware Interpretation of Linear Logic: Syntax and Categorical Semantics. - Ben Adcock, Juan M. Cardenas, Nick C. Dexter:
An Adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains. - Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K. Warmuth:
Step-size Adaptation Using Exponentiated Gradient Updates. - Aleksey A. Kocherzhenko, Nirmal Sobha Kartha, Tengfei Li, Hsin-Yi Shih, Marco Mandic, Mike Fuller, Arshak Navruzyan:
Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations. - Liyu Chen, Rahul Jain, Haipeng Luo:
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. - Amir Iqbal, Sushant Veer, Yan Gu:
DRS-LIP: Linear Inverted Pendulum Model for Legged Locomotion on Dynamic Rigid Surfaces. - Jae Hun Ro, Felix Stahlberg, Ke Wu, Shankar Kumar:
Transformer-based Models of Text Normalization for Speech Applications. - Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville:
Fortuitous Forgetting in Connectionist Networks. - Yesheng Zhang, Xu Zhao, Dahong Qian:
Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection. - Sugandha Sharma, Sarthak Chandra, Ila R. Fiete:
Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold. - Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel:
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. - Xi Mo, Xiangyu Chen, Cuncong Zhong, Rui Li, Kaidong Li, Usman Sajid:
Dilated Continuous Random Field for Semantic Segmentation. - Priyanka Mandikal, Kristen Grauman:
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video. - Emre Sariyildiz:
Design Constraints of Disturbance Observer-based Motion Control Systems are Stricter in the Discrete-Time Domain. - Emre Sariyildiz:
A Unified Robust Motion Controller Synthesis for Compliant Robots Driven by Series Elastic Actuators. - Badr Al Faiya, Dimitrios Athanasiadis, Minjiang Chen, Stephen D. J. McArthur, Ivana Kockar, Haowei Lu, Francisco de León:
A self-organizing multi-agent system for distributed voltage regulation. - James Ivers, Robert L. Nord, Ipek Ozkaya, Chris Seifried, Christopher Steven Timperley, Marouane Kessentini:
Industry Experiences with Large-Scale Refactoring. - Tao Yu, Kiyomichi Araki, Kei Sakaguchi:
Ground Experiment of Full-Duplex Multi-UAV System Enabled by Directional Antennas. - Tao Yu, Kiyomichi Araki, Kei Sakaguchi:
Full-Duplex Aerial Communication System for Multiple UAVs with Directional Antennas. - Tao Yu, Kento Kajiwara, Kiyomichi Araki, Kei Sakaguchi:
Spectrum Sharing between Directional-Antenna- Equipped UAV System and Terrestrial Systems. - Wei-Cheng Tseng, Hung-Ju Liao, Yen-Chen Lin, Min Sun:
CLA-NeRF: Category-Level Articulated Neural Radiance Field. - Jianren Wang, Haiming Gang, Siddarth Ancha, Yi-Ting Chen, David Held:
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks. - Ty Trusty, Danny M. Kaufman, David I. W. Levin:
Mixed Variational Finite Elements for Implicit, General-Purpose Simulation of Deformables. - Kurt Leimer, Paul Guerrero, Tomer Weiss, Przemyslaw Musialski:
ATEK: Augmenting Transformers with Expert Knowledge for Indoor Layout Synthesis. - Jin-Hyun Ahn, Kyung Sang Kim, Jeongwan Koh, Quanzheng Li:
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning. - Haoyuan Fu, Wenqiang Xu, Han Xue, Huinan Yang, Ruolin Ye, Yongxi Huang, Zhendong Xue, Yanfeng Wang, Cewu Lu:
RFUniverse: A Physics-based Action-centric Interactive Environment for Everyday Household Tasks. - Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds. - Matthew F. Wipperman, Galen Pogoncheff, Katrina F. Mateo, Xuefang Wu, Yiziying Chen, Oren Levy, Andreja Avbersek, Robin R. Deterding, Sara C. Hamon, Tam Vu, Rinol Alaj, Olivier Harari:
A pilot study of the Earable device to measure facial muscle and eye movement tasks among healthy volunteers. - Masaki Yasuhara, Tomoya Takahashi, Hiroki Maruta, Hiroyuki Saito, Shota Higuchi, Takaaki Nara, Keitaro Takeuchi, Yota Sakai, Kazuki Ishibashi:
INPUT Team Description Paper in 2022. - Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. - Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey, Ramamurthy S, Bhavna Naneria Singh:
Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text. - Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. - Arman Rasoodl Faridi, Faraz Masood, Ali Haider Thabet Shamsan, Mohammad Luqman, Monir Yahya Salmony:
Blockchain in the Quantum World. - Gabriele Farina, Chung-Wei Lee, Haipeng Luo, Christian Kroer:
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games. - Anup Rao, Oscar Sprumont:
On List Decoding Transitive Codes From Random Errors. - Kenji Koide, Masashi Yokozuka, Shuji Oishi, Atsuhiko Banno:
Globally Consistent and Tightly Coupled 3D LiDAR Inertial Mapping. - Haresh Karnan, Garrett Warnell, Faraz Torabi, Peter Stone:
Adversarial Imitation Learning from Video using a State Observer. - Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang:
Sequential Search with Off-Policy Reinforcement Learning. - Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa:
ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters. - Tania Sidana, Navin Kashyap:
Entanglement-Assisted Quantum Error-Correcting Codes over Local Frobenius Rings. - Fahina, Shwetha U, Poorna, Supriya, Rama Moorthy H, Vasudeva:
Securing the data in cloud using Algebra Homomorphic Encryption scheme based on updated Elgamal(AHEE). - P. N. Priya, R. Ranjitha, Yashaswini Naik, Shrilekha, Rama Moorthy H:
A Novel Algorithm In Steganography Using Weighted Matching Technique. - P. N. Priya, R. Ranjitha, Yashaswini Naik, Shrilekha, Rama Moorthy H:
A Novel Pair and Matching Algorithm for Embedding Secret Messages in Images. - Shayne Longpre, Julia Reisler, Edward Greg Huang, Yi Lu, Andrew J. Frank, Nikhil Ramesh, Chris DuBois:
Active Learning Over Multiple Domains in Natural Language Tasks. - Chung-Yiu Yau, Hoi-To Wai:
DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning. - Max van Haren, Maurice Poot, Jim Portegies, Tom Oomen:
Position-Dependent Snap Feedforward: A Gaussian Process Framework. - Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu:
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics. - Jathushan Rajasegaran, Chelsea Finn, Sergey Levine:
Fully Online Meta-Learning Without Task Boundaries. - Jens Sjölund, Maria Bånkestad:
Graph-based Neural Acceleration for Nonnegative Matrix Factorization. - Teru Nagamori, Hiroki Ito, April Pyone Maung Maung, Hitoshi Kiya:
Access Control of Object Detection Models Using Encrypted Feature Maps. - Wonyong Jeong, Sung Ju Hwang:
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching. - Axel Sauer, Katja Schwarz, Andreas Geiger:
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets. - Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar:
Architecture Matters in Continual Learning. - Thien Hoang Nguyen, Lihua Xie:
Relative Transformation Estimation Based on Fusion of Odometry and UWB Ranging Data. - Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? - Luca Herranz-Celotti, Jean Rouat:
Surrogate Gradients Design. - Dajana Conte, Gianluca Frasca Caccia:
Exponentially fitted methods with a local energy conservation law. - Thomas Feys, Gilles Callebaut, Liesbet Van der Perre, François Rottenberg:
Measurement-Based Validation of Z3RO Precoder to Prevent Nonlinear Amplifier Distortion in Massive MIMO Systems. - Marvin Geiselhart, Moustafa Ebada, Ahmed Elkelesh, Jannis Clausius, Stephan ten Brink:
Automorphism Ensemble Decoding of Quasi-Cyclic LDPC Codes by Breaking Graph Symmetries. - Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. - Nir Oren
, Bruno Yun, Srdjan Vesic, Murilo S. Baptista:
The Inverse Problem for Argumentation Gradual Semantics. - Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A novel Large Eddy Simulation model for the Quasi-Geostrophic Equations in a Finite Volume setting. - Jinzhang Liu:
Research on Question Classification Methods in the Medical Field. - Zhichao Han, David S. Kammer, Olga Fink:
Learning Physics-Consistent Particle Interactions. - Qiujie Dong, Zixiong Wang, Junjie Gao, Shuang-Min Chen, Zhenyu Shu, Shiqing Xin:
Laplacian2Mesh: Laplacian-Based Mesh Understanding. - Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler H. Summers, John Lygeros:
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation. - Giovanni Barbarino, Carlo Garoni, Mariarosa Mazza, Stefano Serra-Capizzano:
Rectangular GLT Sequences. - Clemens Seibold, Johannes Künzel, Anna Hilsmann, Peter Eisert:
From Explanations to Segmentation: Using Explainable AI for Image Segmentation. - Chen Griner, Gil Einziger, Chen Avin:
Self-Adjusting Ego-Trees Topology for Reconfigurable Datacenter Networks. - Alina Chertock, Pierre Degond, Giacomo Dimarco, Mária Lukácová-Medvid'ová, A. Ruhi:
On a hybrid continuum-kinetic model for complex fluids. - Wei Wei, Jingjing Wang, Jun Du, Zhengru Fang, Chunxiao Jiang, Yong Ren:
Underwater Differential Game: Finite-Time Target Hunting Task with Communication Delay. - Timon Felske, Stefan Lüdtke, Sebastian Bader, Thomas Kirste:
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs. - Olesya Mryglod, Yurij Holovatch, Ralph Kenna:
Big fish and small ponds: why the departmental h-index should not be used to rank universities. - Matteo Marsili, Yasser Roudi:
Quantifying Relevance in Learning and Inference. - Dmitry Mineev, Evgeny Bobrov, Viktor Kuznetsov:
On the Interference Cancellation by Reduced Channel Zero Forcing Class of Precodings in Massive MIMO Systems. - Pierre Carbonnelle, Simon Vandevelde, Joost Vennekens, Marc Denecker:
IDP-Z3: a reasoning engine for FO(.). - Coenraad Mouton, Marelie H. Davel:
Exploring layerwise decision making in DNNs. - Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. - Uday Kusupati, Venkata Ravi Teja Ailavarapu:
Natural Language to Code Using Transformers. - Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. - Amin Abolghasemi, Suzan Verberne, Leif Azzopardi:
Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization. - Inna Suvorova:
Deepfake pornography as a male gaze on fan culture. - Markus Lohmayer, Sigrid Leyendecker:
EPHS: A Port-Hamiltonian Modelling Language. - Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie:
NTU VIRAL: A Visual-Inertial-Ranging-Lidar Dataset, From an Aerial Vehicle Viewpoint. - Jonas Bei, David Pomerenke, Lukas Schreiner, Sepideh Sharbaf, Pieter Collins, Nico Roos:
Explainable AI through the Learning of Arguments. - Umang Aggarwal, Adrian Popescu, Eden Belouadah, Céline Hudelot:
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning. - Anandhu Suresh, Karnam Venkata Manga Raju:
A Novel Method to Estimate Tilt Angle of a Body using a Pendulum.