Kobi Cohen - RankMe

125 papers B 11Misc 11Journal 88Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction. CoRR Ran Greidi, Kobi Cohen
2026	J	`jnl`	HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering. CoRR Dan Ben Ami, Gabriele Serussi, Kobi Cohen, Chaim Baskin
2025	B	`conf`	A Regularized Routing Optimization Approach for Enhanced Throughput and Low Latency with Efficient Complexity in Communication Networks. WCNC David Zenati, Tzalik Maimon, Kobi Cohen
2025	J	`jnl`	Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach. IEEE Access Dan Ben Ami, Kobi Cohen, Qing Zhao
2025	J	`jnl`	Control-Optimized Deep Reinforcement Learning for Artificially Intelligent Autonomous Systems. CoRR Oren Fivel, Matan Rudman, Kobi Cohen
2025	J	`jnl`	Distributed Learning in Markovian Restless Bandits over Interference Graphs for Stable Spectrum Sharing. CoRR Liad Lea Didi, Kobi Cohen
2025	J	`jnl`	HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering. CoRR Dan Ben Ami, Gabriele Serussi, Kobi Cohen, Chaim Baskin
2025	J	`jnl`	PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning. CoRR Ori Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen
2025	J	`jnl`	PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning. IEEE Trans. Signal Process. Ori Peleg, Natalie Lang, Dan Ben Ami, Stefano Rini, Nir Shlezinger, Kobi Cohen
2025	Misc	`conf`	PAUSE: Privacy-Aware Active User Selection for Federated Learning. ICASSP Ori Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen
2025	J	`jnl`	RRO: A Regularized Routing Optimization Algorithm for Enhanced Throughput and Low Latency With Efficient Complexity. IEEE J. Sel. Areas Commun. David Zenati, Tzalik Maimon, Kobi Cohen
2025	J	`jnl`	SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks. IEEE Trans. Wirel. Commun. Yaniv Cohen, Tomer Gafni, Ronen Greenberg, Kobi Cohen
2025	J	`jnl`	Searching for a Hidden Markov Anomaly over Multiple Processes. CoRR Levli Citron, Kobi Cohen, Qing Zhao
2024	J	`jnl`	A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Trans. Signal Process. Sudeep Salgia, Tamir Gabay, Qing Zhao, Kobi Cohen
2024	—	`conf`	A Masked Pruning-Based Algorithm for Dimensionality Reduction in Federated Learning Systems. Allerton Tamir L. S. Gez, Kobi Cohen
2024	J	`jnl`	A Stable Polygamy Approach to Spectrum Access with Channel Reuse. CoRR Dan Ben Ami, Kobi Cohen
2024	—	`conf`	Active Change Point Anomaly Detection Over Composite Hypotheses. Allerton Liad Lea Didi, Tomer Gafni, Kobi Cohen
2024	B	`conf`	Anomaly Search of a Hidden Markov Model. ISIT Levli Citron, Kobi Cohen, Qing Zhao
2024	J	`jnl`	Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model. CoRR Liad Lea Didi, Tomer Gafni, Kobi Cohen
2024	—	`conf`	Communication-Efficient Federated Learning via Sparse Training with Regularized Error Correction. Allerton Ran Greidi, Kobi Cohen
2024	J	`jnl`	Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing. IEEE Access Hadar Szostak, Kobi Cohen
2024	J	`jnl`	Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation. IEEE Trans. Signal Process. Tomer Gafni, Kobi Cohen, Yonina C. Eldar
2024	J	`jnl`	Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach. IEEE Trans. Wirel. Commun. Raz Paul, Kobi Cohen, Gil Kedar
2024	J	`jnl`	RRO: A Regularized Routing Optimization Algorithm for Enhanced Throughput and Low Latency with Efficient Complexity. CoRR David Zenati, Tzalik Maimon, Kobi Cohen
2024	J	`jnl`	SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks. CoRR Yaniv Cohen, Tomer Gafni, Ronen Greenberg, Kobi Cohen
2024	J	`jnl`	Sparse Training for Federated Learning With Regularized Error Correction. IEEE J. Sel. Top. Signal Process. Ran Greidi, Kobi Cohen
2023	J	`jnl`	A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret. CoRR Sudeep Salgia, Karthik Murthy, Qing Zhao, Tamir Gabay, Kobi Cohen
2023	J	`jnl`	A Genetic Algorithm-Based Approach to Power Allocation in Rate-Splitting Multiple Access Systems. CoRR Temitope O. Fajemilehin, Kobi Cohen
2023	J	`jnl`	A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems. CoRR Tamir L. S. Gez, Kobi Cohen
2023	J	`jnl`	An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks. IEEE Access Omer Amar, Ilana Sarfati, Kobi Cohen
2023	J	`jnl`	Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models. IEEE Trans. Signal Process. Tomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen
2023	Misc	`conf`	Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach. ICASSP Dan Ben Ami, Kobi Cohen, Qing Zhao
2023	J	`jnl`	Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach. CoRR Dan Ben Ami, Kobi Cohen, Qing Zhao
2023	J	`jnl`	Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing. CoRR Hadar Szostak, Kobi Cohen
2023	J	`jnl`	Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks. IEEE Trans. Wirel. Commun. Yoel Bokobza, Ron Dabora, Kobi Cohen
2023	J	`jnl`	Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach. CoRR Raz Paul, Kobi Cohen, Gil Kedar
2023	J	`jnl`	Sparse Training for Federated Learning with Regularized Error Correction. CoRR Ran Greidi, Kobi Cohen
2023	J	`jnl`	Subgradient Descent Learning Over Fading Multiple Access Channels With Over-the-Air Computation. IEEE Access Tamir L. S. Gez, Kobi Cohen
2023	Misc	`conf`	Subgradient Descent Learning with Over-the-Air Computation. ICASSP Tamir L. S. Gez, Kobi Cohen
2022	J	`jnl`	Accelerated Gradient Descent Learning Over Multiple Access Fading Channels. IEEE J. Sel. Areas Commun. Raz Paul, Yuval Friedman, Kobi Cohen
2022	J	`jnl`	An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks. CoRR Omer Amar, Kobi Cohen
2022	J	`jnl`	Anomaly Search With Multiple Plays Under Delay and Switching Costs. IEEE Trans. Signal Process. Tidhar Lambez, Kobi Cohen
2022	—	`conf`	CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data. Allerton Tomer Gafni, Kobi Cohen, Yonina C. Eldar
2022	B	`conf`	Composite Anomaly Detection via Hierarchical Dynamic Search. ISIT Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
2022	J	`jnl`	Composite Anomaly Detection via Hierarchical Dynamic Search. CoRR Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
2022	—	`conf`	Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning. Allerton Hadar Szostak, Kobi Cohen
2022	J	`jnl`	Distributed Learning Over Markovian Fading Channels for Stable Spectrum Access. IEEE Access Tomer Gafni, Kobi Cohen
2022	J	`jnl`	Federated Learning: A signal processing perspective. IEEE Signal Process. Mag. Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor
2022	J	`jnl`	Learning in Restless Bandits Under Exogenous Global Markov Process. IEEE Trans. Signal Process. Tomer Gafni, Michal Yemini, Kobi Cohen
2022	Misc	`conf`	Restless Multi-Armed Bandits under Exogenous Global Markov Process. ICASSP Tomer Gafni, Michal Yemini, Kobi Cohen
2022	J	`jnl`	Restless Multi-Armed Bandits under Exogenous Global Markov Process. CoRR Tomer Gafni, Michal Yemini, Kobi Cohen
2022	B	`conf`	Simultaneous Sensing and Channel Access based on Partial Observations via Deep Reinforcement Learning. ISIT Yoel Bokobza, Ron Dabora, Kobi Cohen
2021	J	`jnl`	Accelerated Gradient Descent Learning over Multiple Access Fading Channels. CoRR Raz Paul, Yuval Friedman, Kobi Cohen
2021	J	`jnl`	Anomaly Search with Multiple Plays under Delay and Switching Costs. CoRR Tidhar Lambez, Kobi Cohen
2021	Misc	`conf`	Controlled Testing and Isolation for Suppressing Covid-19. ICASSP Kobi Cohen, Amir Leshem
2021	J	`jnl`	Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks. CoRR Yoel Bokobza, Ron Dabora, Kobi Cohen
2021	J	`jnl`	Federated Learning: A Signal Processing Perspective. CoRR Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor
2021	J	`jnl`	IMDoC: Identification of Malicious Domain Campaigns via DNS and Communicating Files. IEEE Access David Lazar, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron
2021	J	`jnl`	Information-Directed Random Walk for Rare Event Detection in Hierarchical Processes. IEEE Trans. Inf. Theory Chao Wang, Kobi Cohen, Qing Zhao
2021	J	`jnl`	Learning in Restless Bandits under Exogenous Global Markov Process. CoRR Tomer Gafni, Michal Yemini, Kobi Cohen
2021	J	`jnl`	Learning in Restless Multiarmed Bandits via Adaptive Arm Sequencing Rules. IEEE Trans. Autom. Control. Tomer Gafni, Kobi Cohen
2021	B	`conf`	Online Learning for Shortest Path and Backpressure Routing in Wireless Networks. ISIT Omer Amar, Kobi Cohen
2021	J	`jnl`	Over-the-Air Federated Learning From Heterogeneous Data. IEEE Trans. Signal Process. Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar
2021	Misc	`conf`	Searching for Anomalies with Multiple Plays under Delay and Switching Costs. ICASSP Tidhar Lambez, Kobi Cohen
2021	J	`jnl`	Searching for Unknown Anomalies in Hierarchical Data Streams. IEEE Signal Process. Lett. Tomer Gafni, Kobi Cohen, Qing Zhao
2020	J	`jnl`	ARBA: Anomaly and Reputation Based Approach for Detecting Infected IoT Devices. IEEE Access Gilad Rosenthal, Ofir Erets Kdosha, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron
2020	B	`conf`	COTAF: Convergent Over-the-Air Federated Learning. GLOBECOM Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar
2020	J	`jnl`	Deep reinforcement one-shot learning for artificially intelligent classification in expert aided systems. Eng. Appl. Artif. Intell. Anton Puzanov, Senyang Zhang, Kobi Cohen
2020	J	`jnl`	On Analog Gradient Descent Learning Over Multiple Access Fading Channels. IEEE Trans. Signal Process. Tomer Sery, Kobi Cohen
2020	J	`jnl`	Over-the-Air Federated Learning from Heterogeneous Data. CoRR Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar
2020	J	`jnl`	PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. CoRR Dor Livne, Kobi Cohen
2020	J	`jnl`	PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. IEEE J. Sel. Top. Signal Process. Dor Livne, Kobi Cohen
2020	J	`jnl`	Queue and Channel-Based Aloha Algorithm in Multichannel Wireless Networks. IEEE Wirel. Commun. Lett. Dean Malachi, Kobi Cohen
2020	J	`jnl`	REMaDD: Resource-Efficient Malicious Domains Detector in Large-Scale Networks. IEEE Access Ofir Erets Kdosha, Gilad Rosenthal, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron
2020	J	`jnl`	Searching for Anomalies Over Composite Hypotheses. IEEE Trans. Signal Process. Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao
2019	—	`conf`	A Distributed Stable Strategy Learning Algorithm for Multi-User Dynamic Spectrum Access. Allerton Tomer Gafni, Kobi Cohen
2019	—	`conf`	A Sequential Gradient-Based Multiple Access for Distributed Learning over Fading Channels. Allerton Tomer Sery, Kobi Cohen
2019	J	`jnl`	A Time-Varying Opportunistic Multiple Access for Delay-Sensitive Inference in Wireless Sensor Networks. IEEE Access Kobi Cohen, Dean Malachi
2019	J	`jnl`	Active Anomaly Detection in Heterogeneous Processes. IEEE Trans. Inf. Theory Boshuang Huang, Kobi Cohen, Qing Zhao
2019	J	`jnl`	Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access. IEEE Trans. Wirel. Commun. Oshri Naparstek, Kobi Cohen
2019	J	`jnl`	Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules. CoRR Tomer Gafni, Kobi Cohen
2019	J	`jnl`	On Analog Gradient Descent Learning over Multiple Access Fading Channels. CoRR Tomer Sery, Kobi Cohen
2019	J	`jnl`	Searching for Anomalies over Composite Hypotheses. CoRR Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao
2019	J	`jnl`	Sequential Anomaly Detection Under a Nonlinear System Cost. IEEE Trans. Signal Process. Andrey Gurevich, Kobi Cohen, Qing Zhao
2018	Misc	`conf`	Active Anomaly Detection in Heterogeneous Processes. ICASSP Boshuang Huang, Kobi Cohen, Qing Zhao
2018	J	`jnl`	Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems. CoRR Anton Puzanov, Kobi Cohen
2018	—	`conf`	Deep Reinforcement One-Shot Learning for Change Point Detection. Allerton Anton Puzanov, Kobi Cohen
2018	B	`conf`	Density-Based Multiple Access for Detection in Wireless Sensor Networks. ISIT Kobi Cohen, Amir Leshem
2018	—	`conf`	Dynamic Search on a Tree with Information-Directed Random Walk. SPAWC Chao Wang, Qing Zhao, Kobi Cohen
2018	B	`conf`	Learning in Restless Multi-Armed Bandits using Adaptive Arm Sequencing Rules. ISIT Tomer Gafni, Kobi Cohen
2018	J	`jnl`	Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks. CoRR Kobi Cohen, Amir Leshem
2018	J	`jnl`	Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks. IEEE Trans. Signal Process. Kobi Cohen, Amir Leshem
2017	B	`conf`	Active hypothesis testing on a tree: Anomaly detection under hierarchical observations. ISIT Chao Wang, Kobi Cohen, Qing Zhao
2017	—	`conf`	Anomaly detection under a nonlinear system cost objective function. Allerton Andrey Gurevich, Kobi Cohen, Qing Zhao
2017	B	`conf`	Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks. GLOBECOM Oshri Naparstek, Kobi Cohen
2017	J	`jnl`	Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks. CoRR Oshri Naparstek, Kobi Cohen
2017	J	`jnl`	Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. IEEE Trans. Autom. Control. Kobi Cohen, Angelia Nedic, R. Srikant
2017	J	`jnl`	On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. IEEE Trans. Autom. Control. Kobi Cohen, Angelia Nedic, R. Srikant
2017	J	`jnl`	Sequential Active Detection of Anomalies in Heterogeneous Processes. CoRR Boshuang Huang, Kobi Cohen, Qing Zhao
2016	J	`jnl`	Active Hypothesis Testing on A Tree: Anomaly Detection under Hierarchical Observations. CoRR Chao Wang, Qing Zhao, Kobi Cohen
2016	—	`conf`	Asymptotically optimal search of unknown anomalies. ISSPIT Bar Hemo, Kobi Cohen, Qing Zhao
2016	J	`jnl`	Distributed Game-Theoretic Optimization and Management of Multichannel ALOHA Networks. IEEE/ACM Trans. Netw. Kobi Cohen, Amir Leshem
2016	J	`jnl`	On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. CoRR Kobi Cohen, Angelia Nedic, R. Srikant
2016	Misc	`conf`	On projected stochastic gradient descent algorithm with weighted averaging for least squares regression. ICASSP Kobi Cohen, Angelia Nedic, R. Srikant
2015	J	`jnl`	Active Hypothesis Testing for Anomaly Detection. IEEE Trans. Inf. Theory Kobi Cohen, Qing Zhao
2015	J	`jnl`	Asymptotically Optimal Anomaly Detection via Sequential Testing. IEEE Trans. Signal Process. Kobi Cohen, Qing Zhao
2015	J	`jnl`	Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. CoRR Kobi Cohen, Angelia Nedic, R. Srikant
2015	B	`conf`	Distributed learning algorithms for spectrum sharing in spatial random access networks. WiOpt Kobi Cohen, Angelia Nedic, R. Srikant
2014	J	`jnl`	Active Hypothesis Testing for Quickest Anomaly Detection. CoRR Kobi Cohen, Qing Zhao
2014	—	`conf`	Anomaly detection over independent processes: Switching with memory. Allerton Kobi Cohen, Qing Zhao
2014	J	`jnl`	Asymptotically Optimal Sequential Tests for Anomaly Detection: Switching with Memory. CoRR Kobi Cohen, Qing Zhao
2014	J	`jnl`	Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems. CoRR Kobi Cohen, Qing Zhao, Ananthram Swami
2014	J	`jnl`	Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems. IEEE Trans. Signal Process. Kobi Cohen, Qing Zhao, Ananthram Swami
2014	Misc	`conf`	Quickest anomaly detection: A case of active hypothesis testing. ITA Kobi Cohen, Qing Zhao
2014	Misc	`conf`	Restless multi-armed bandits under time-varying activation constraints for dynamic spectrum access. ACSSC Kobi Cohen, Qing Zhao, Anna Scaglione
2013	J	`jnl`	Distributed Game Theoretic Optimization and Management of Multi-Channel ALOHA Networks. CoRR Kobi Cohen, Amir Leshem
2013	—	`conf`	Distributed throughput maximization for multi-channel ALOHA networks. CAMSAP Kobi Cohen, Amir Leshem
2013	J	`jnl`	Game Theoretic Aspects of the Multi-Channel ALOHA Protocol in Cognitive Radio Networks. IEEE J. Sel. Areas Commun. Kobi Cohen, Amir Leshem, Ephraim Zehavi
2013	—	`conf`	Optimal index policies for quickest localization of anomaly in cyber networks. GlobalSIP Kobi Cohen, Qing Zhao, Ananthram Swami
2013	J	`jnl`	Performance Analysis of Likelihood-Based Multiple Access for Detection Over Fading Channels. IEEE Trans. Inf. Theory Kobi Cohen, Amir Leshem
2012	—	`conf`	A Game Theoretic Optimization of the Multi-channel ALOHA Protocol. GAMENETS Kobi Cohen, Amir Leshem, Ephraim Zehavi
2012	J	`jnl`	Parametric Spectrum Shaping for Downstream Spectrum Management of Digital Subscriber Lines. IEEE Commun. Lett. Oshri Naparstek, Kobi Cohen, Amir Leshem
2011	J	`jnl`	Energy-Efficient Detection in Wireless Sensor Networks Using Likelihood Ratio and Channel State Information. IEEE J. Sel. Areas Commun. Kobi Cohen, Amir Leshem
2010	J	`jnl`	A time-varying opportunistic approach to lifetime maximization of wireless sensor networks. IEEE Trans. Signal Process. Kobi Cohen, Amir Leshem
2009	Misc	`conf`	Time-varying Opportunistic Protocol for maximizing sensor networks lifetime. ICASSP Kobi Cohen, Amir Leshem