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ORCIDCoRR, February 2020
- Jakkepalli Pavan Kumar, P. Venkata Subba Reddy:
Algorithmic Aspects of Some Variants of Domination in Graphs.
- Abdellatif Zaidi, Inaki Estella Aguerri, Shlomo Shamai:
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views. - Thomas Seiller:
Probabilistic Complexity Classes through Semantics. - Tankut Can, Kamesh Krishnamurthy, David J. Schwab:
Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs. - Marcos Eduardo Valle, Rodolfo Anibal Lobo:
Hypercomplex-Valued Recurrent Correlation Neural Networks. - Mohammad Tahan, Tingshu Hu:
Multiple string LED driver with flexible and high performance PWM dimming control. - Björn Engquist, Yunan Yang:
Optimal Transport Based Seismic Inversion: Beyond Cycle Skipping. - Parker Riley, Daniel Gildea:
Unsupervised Bilingual Lexicon Induction Across Writing Systems. - James Usevitch, Dimitra Panagou:
Resilient Finite Time Consensus: A Discontinuous Systems Perspective. - Abhishek Kumar, Ben Poole:
On Implicit Regularization in β-VAEs. - Timothy M. Herr, Therese A. Nelson, Justin B. Starren:
Design Principles and Clinician Preferences for Pharmacogenomic Clinical Decision Support Alerts. - Timothy M. Herr, Therese A. Nelson, Luke V. Rasmussen, Yinan Zheng, Nicola Lancki, Justin B. Starren:
Design Principles Developed through User-Centered and Socio-Technical Methods Improve Clinician Satisfaction, Speed, and Confidence in Pharmacogenomic Clinical Decision Support. - Claude Carlet, Kwang Ho Kim, Sihem Mesnager:
A direct proof of APN-ness of the Kasami functions. - João E. Batista, Sara Silva:
Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. - Noah Golowich, Sarath Pattathil, Constantinos Daskalakis, Asuman E. Ozdaglar:
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems. - Xing Chu, Na Huang, Zhiyong Sun:
Event triggering control for dynamical systems with designable minimum inter-event time. - Santiago Gonzalez, Risto Miikkulainen:
Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations. - Guillaume Sagnol, Daniel Schmidt genannt Waldschmidt:
Stochastic Extensible Bin Packing. - Vítor Albiero, Krishnapriya K. S, Kushal Vangara, Kai Zhang, Michael C. King, Kevin W. Bowyer:
Analysis of Gender Inequality In Face Recognition Accuracy. - Alexandra Koulouri
, Ville Rimpiläinen:
Simultaneous Skull Conductivity and Focal Source Imaging from EEG Recordings with the help of Bayesian Uncertainty Modelling. - Ryan Smith, Daniel Palin, Philokypros P. Ioulianou, Vassilios G. Vassilakis, Siamak F. Shahandashti:
Battery draining attacks against edge computing nodes in IoT networks. - Cole Franks, Ankur Moitra:
Rigorous Guarantees for Tyler's M-estimator via quantum expansion. - Sami Khairy, Prasanna Balaprakash, Lin X. Cai, Yu Cheng:
Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV based Random Access IoT Networks with NOMA. - Victor DeCaria, Michael Schneier:
An embedded variable step IMEX scheme for the incompressible Navier-Stokes equations. - Tim Mitchell:
Convergence rate analysis and improved iterations for numerical radius computation. - Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Regret Minimization in Partially Observable Linear Quadratic Control. - Seokki Lee, Bertram Ludäscher, Boris Glavic:
Approximate Summaries for Why and Why-not Provenance (Extended Version). - Li Xiao, Xiang-Gen Xia, Yu-Ping Wang:
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). - Scott A. Carter, Daniel Avrahami, Nami Tokunaga:
Using Inaudible Audio to Improve Indoor-Localization- and Proximity-Aware Intelligent Applications. - Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng:
Hybrid Graph Neural Networks for Crowd Counting. - Xinyue Hu, Haoji Hu, Saurabh Verma, Zhi-Li Zhang:
Physics-Guided Deep Neural Networks for PowerFlow Analysis. - Madhav Kumar, Dean Eckles, Sinan Aral:
Scalable bundling via dense product embeddings. - Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun:
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation. - Andrea Bonito, Ricardo H. Nochetto, Dimitrios Ntogkas:
Discontinuous Galerkin Approach to Large Bending Deformation of a Bilayer Plate with Isometry Constraint. - Andreas Grammenos, Aravindh Raman, Timm Böttger, Zafar Gilani, Gareth Tyson:
Dissecting the Workload of a Major Adult Video Portal. - Jeremy E. Kozdon, Brittany A. Erickson, Lucas C. Wilcox:
Hybridized Summation-By-Parts Finite Difference Methods. - Xingzhe He, Helen Lu Cao, Bo Zhu:
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing. - Qianming Xue, Wei Zhang, Hongyuan Zha:
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. - Aparna Khare, Shiva Sundaram, Minhua Wu:
Multi-channel Acoustic Modeling using Mixed Bitrate OPUS Compression. - Tatsuya Takemura, Naoto Yanai, Toru Fujiwara:
Model Extraction Attacks against Recurrent Neural Networks. - Mark Giesbrecht, Hui Huang, George Labahn, Eugene V. Zima:
Efficient q-Integer Linear Decomposition of Multivariate Polynomials. - Sanna Wager, Aparna Khare, Minhua Wu, Ken'ichi Kumatani, Shiva Sundaram:
Fully Learnable Front-End for Multi-Channel Acoustic Modeling using Semi-Supervised Learning. - Md. Khaja Mohiddin, V. B. S. Srilatha Indira Dutt:
An optimum energy consumption hybrid algorithm for xln strategic design in wsns. - Zhengzhe Liu, Xiaojuan Qi, Jiaya Jia, Philip H. S. Torr:
Global Texture Enhancement for Fake Face Detection in the Wild. - Lijun Yu, Peng Chen, Wenhe Liu, Guoliang Kang, Alexander G. Hauptmann:
Training-free Monocular 3D Event Detection System for Traffic Surveillance. - Yigit Alparslan, Mannika Kshettry, Louis Kratz:
Towards Evaluating Gaussian Blurring in Perceptual Hashing as a Facial Image Filter. - Abdullah Al-Mamun, Dongfang Zhao:
SciChain: Trustworthy Scientific Data Provenance. - Xiwei Liu:
Adaptive Finite Time Stability of Delayed Systems With Applications to Network Synchronization. - Zhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda:
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning. - Waqas Ahmed, Sheikh Muhammad Hizam, Ilham Sentosa, Habiba Akter, Eiad Yafi, Jawad Ali:
Predicting IoT Service Adoption towards Smart Mobility in Malaysia: SEM-Neural Hybrid Pilot Study. - Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo:
Asymmetric Distribution Measure for Few-shot Learning. - Daniel Obmann, Johannes Schwab, Markus Haltmeier:
Deep synthesis regularization of inverse problems. - Mateen Ulhaq, Ivan V. Bajic:
Shared Mobile-Cloud Inference for Collaborative Intelligence. - Suyash Gupta, Sajjad Rahnama, Jelle Hellings, Mohammad Sadoghi:
ResilientDB: Global Scale Resilient Blockchain Fabric. - Xinyao Li, Changyun Wen, Ying Zou:
Adaptive Backstepping Control for Fractional-Order Nonlinear Systems with External Disturbance and Uncertain Parameters Using Smooth Control. - Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Cheng Niu, Jie Zhou:
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog. - Wei Hao Khoong:
Solving the Joint Order Batching and Picker Routing Problem for Large Instances. - Yuhang Jia, Chencheng Ye, Ying Cui:
Analysis and Optimization of an Intelligent Reflecting Surface-assisted System with Interference. - Chenggang Yan, Biao Gong, Yuxuan Wei, Yue Gao:
Deep Multi-View Enhancement Hashing for Image Retrieval. - Gayatri Venugopal-Wairagade, Jatinderkumar R. Saini, Dhanya Pramod:
Novel Language Resources for Hindi: An Aesthetics Text Corpus and a Comprehensive Stop Lemma List. - Quan Hoang Lam, Quang-Duy Le, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning. - Bin Wen, Jie Luo, Xianglong Liu, Lei Huang:
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. - Pierre Wolinski, Guillaume Charpiat, Yann Ollivier:
Interpreting a Penalty as the Influence of a Bayesian Prior. - Zifei Zhang, Kai Qiao, Lingyun Jiang, Linyuan Wang, Bin Yan:
AdvJND: Generating Adversarial Examples with Just Noticeable Difference. - Yu-Ping Ruan, Zhen-Hua Ling, Jia-Chen Gu, Quan Liu:
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking. - Hui-Chu Xiao, Wan-Lei Zhao, Jie Lin, Chong-Wah Ngo:
Deeply Activated Salient Region for Instance Search. - Ulrich Berger, Hideki Tsuiki:
Intuitionistic Fixed Point Logic. - Jinxu Liu, Wei Gao, Zhanyi Hu:
Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM. - Zhenghang Wu, Yidong Cui:
Large Hole Image Inpainting With Compress-Decompression Network. - Xu Li, Xixin Wu, Xunying Liu, Helen Meng:
Deep segmental phonetic posterior-grams based discovery of non-categories in L2 English speech. - Shuo Zhang, Edgar Meij, Krisztian Balog, Ridho Reinanda:
Novel Entity Discovery from Web Tables. - Shuo Zhang, Krisztian Balog:
Web Table Extraction, Retrieval and Augmentation: A Survey. - Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. - Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen:
Learning to Detect Malicious Clients for Robust Federated Learning. - Yu-Siang Huang, Yi-Hsuan Yang:
Pop Music Transformer: Generating Music with Rhythm and Harmony. - Mohamed Akrout, Robert Steinbauer:
Machine Ethics: The Creation of a Virtuous Machine. - Sérgio Esteves, João Nuno de Oliveira e Silva, Luís Veiga:
Palpatine: Mining Frequent Sequences for Data Prefetching in NoSQL Distributed Key-Value Stores. - Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving. - Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore:
State Estimation - The Role of Reduced Models. - Sodiq Adewole, Erfaneh Gharavi, Benjamin Shpringer, Martin Bolger, Vaibhav Sharma, Sung Ming Yang, Donald E. Brown:
Dialogue-based simulation for cultural awareness training. - Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi:
Bayesian Networks in Healthcare: Distribution by Medical Condition. - Xinsheng Wang, Shanmin Pang, Jihua Zhu:
Domain segmentation and adjustment for generalized zero-shot learning. - Qiuyu Zhu, Vincent Y. F. Tan:
Thompson Sampling Algorithms for Mean-Variance Bandits. - Qing Cheng:
The generalized scalar auxiliary variable approach (G-SAV) for gradient flows. - Eliya Nachmani, Lior Wolf:
Molecule Property Prediction and Classification with Graph Hypernetworks. - Piotr Janus, Tomasz Kryjak, Marek Gorgon:
Foreground object segmentation in RGB-D data implemented on GPU. - Alexander Schindler:
Multi-Modal Music Information Retrieval: Augmenting Audio-Analysis with Visual Computing for Improved Music Video Analysis. - Kevin Vermeulen, Burim Ljuma, Vamsi Addanki, Matthieu Gouel, Olivier Fourmaux, Timur Friedman, Reza Rejaie:
Alias Resolution Based on ICMP Rate Limiting. - Karthik Abinav Sankararaman, Aleksandrs Slivkins:
Advances in Bandits with Knapsacks. - Pushpak Jagtap, Abdalla Swikir, Majid Zamani:
Compositional Construction of Control Barrier Functions for Interconnected Control Systems. - Scott Payne, Edgar Fuller, Cun-Quan Zhang:
Edge-cuts Optimized for Average Weight: a new alternative to Ford and Fulkerson. - Mahesh Kumar Krishna Reddy, Mohammad Asiful Hossain, Mrigank Rochan, Yang Wang:
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning. - David Heckerman:
A Tutorial on Learning With Bayesian Networks. - Guy Bresler, Dheeraj Nagaraj:
A Corrective View of Neural Networks: Representation, Memorization and Learning. - Yuan Yi, Wei Xie, Zhi Zhou, Keqi Wang:
Data-Driven Stochastic Optimization for Power Grids Scheduling under High Wind Penetration. - Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman:
Variational Item Response Theory: Fast, Accurate, and Expressive. - Andrew J. Christlieb, William Sands, Hyoseon Yang:
A Kernel-Based Explicit Unconditionally Stable Scheme for Hamilton-Jacobi Equations on Nonuniform Meshes. - Gergely Neu, Julia Olkhovskaya:
Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits. - Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp:
Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. - Ramy Amer, Walid Saad, Boris Galkin, Nicola Marchetti:
Performance Analysis of Mobile Cellular-Connected Drones under Practical Antenna Configurations. - Aidin Ferdowsi, Walid Saad:
Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets. - Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang:
A Closer Look at Small-loss Bounds for Bandits with Graph Feedback. - Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith:
Citation Text Generation. - Jingdong Li, Hui Zhang, Xueliang Zhang, Changliang Li:
Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks. - Eduardo Camps, Hiram H. López, Gretchen L. Matthews, Eliseo Sarmiento:
Polar decreasing monomial-Cartesian codes. - Song-Hai Zhang, Shaokui Zhang, Wei-Yu Xie, Cheng-Yang Luo, Hongbo Fu:
Fast 3D Indoor Scene Synthesis with Discrete and Exact Layout Pattern Extraction. - Jeongyeol Kwon, Constantine Caramanis:
EM Algorithm is Sample-Optimal for Learning Mixtures of Well-Separated Gaussians. - Yulan Gao, Chao Yong, Zehui Xiong, Jun Zhao, Yue Xiao, Dusit Niyato:
Reflection Resource Management for Intelligent Reflecting Surface Aided Wireless Networks. - Arun C. S. Kumar, Disha Ahuja, Ashwath Aithal:
3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface. - Niels Joubert, Tyler G. R. Reid, Fergus Noble:
Developments in Modern GNSS and Its Impact on Autonomous Vehicle Architectures. - Sungho Shin, Yoonho Boo, Wonyong Sung:
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks. - Marian Kleineberg, Matthias Fey, Frank Weichert:
Adversarial Generation of Continuous Implicit Shape Representations. - Xingwen Zhang, Feng Qi, Zhigang Hua, Shuang Yang:
Solving Billion-Scale Knapsack Problems. - Esam Alkaldy, Ali H. Majeed, Mohd Shamian Zainal, Danial Md. Nor:
Optimum multiplexer design in quantum-dot cellular automata. - Joonatan Mänttäri, Sofia Broomé, John Folkesson, Hedvig Kjellström:
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks. - Weiwei Xu, Michael K. Ng:
Singular Vectors From Singular Values. - Rupam Patir, Shubham Singhal, C. Anantaram, Vikram Goyal:
Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation. - Qiuyan Wang, Weigang Kong, Yang Yan, Chenhuang Wu, Minghui Yang:
Autocorrelation of a class of quaternary sequences of period 2pm. - Xiaoyi Qin, Ming Li, Hui Bu, Rohan Kumar Das, Wei Rao, Shrikanth Narayanan, Haizhou Li:
The FFSVC 2020 Evaluation Plan. - Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition and Applications. - Jan Richter, Bestoun S. Ahmed, Miroslav Bures, Cleber R. Rosa Junior:
Avocado: Open-Source Flexible Constrained Interaction Testing for Practical Application. - Biao Yang, Guocheng Yan, Pin Wang, Ching-Yao Chan, Xiaofeng Liu, Yang Chen:
A Novel Graph based Trajectory Predictor with Pseudo Oracle. - Davide Boscaini, Fabio Poiesi:
3D Shape Segmentation with Geometric Deep Learning. - He Chen, Qian Wang, Zheng Dong, Ning Zhang:
Multiuser Scheduling for Minimizing Age of Information in Uplink MIMO Systems. - Bestoun S. Ahmed, Angelo Gargantini, Miroslav Bures:
An Automated Testing Framework For Smart TV apps Based on Model Separation. - Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
Combating False Negatives in Adversarial Imitation Learning. - Kiran Tomlinson, Austin R. Benson:
Choice Set Optimization Under Discrete Choice Models of Group Decisions. - Ibrahim Abdelaziz, Veronika Thost, Maxwell Crouse, Achille Fokoue:
An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic. - Qinghui Zhang, Cu Cui:
Condensed Generalized Finite Element Method (CGFEM). - Eduardo C. Garrido-Merchán, Cristina Puente, Alejandro Sobrino, José A. Olivas:
Uncertainty Weighted Causal Graphs. - Ekim Yurtsever, Linda Capito, Keith A. Redmill, Ümit Özgüner:
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving. - Maciej Korczynski, Yevheniya Nosyk, Qasim Lone, Marcin Skwarek, Baptiste Jonglez, Andrzej Duda:
Don't Forget to Lock the Front Door! Inferring the Deployment of Source Address Validation of Inbound Traffic. - Bangalore Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez:
Deep Reinforcement Learning for Autonomous Driving: A Survey.