Learning in Restless Multi-Armed Bandits using Adaptive Arm Sequencing Rules. - Tomer Gafni; Kobi Cohen (ISIT, 2018)

A Distributed Stable Strategy Learning Algorithm for Multi-User Dynamic Spectrum Access. - Tomer Gafni; Kobi Cohen (Allerton, 2019)

Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules. - Tomer Gafni; Kobi Cohen (CoRR, 2019)

Searching for Anomalies Over Composite Hypotheses. - Bar Hemo; Tomer Gafni; Kobi Cohen; Qing Zhao 001 (IEEE Trans. Signal Process., 2020)

Searching for Unknown Anomalies in Hierarchical Data Streams. - Tomer Gafni; Kobi Cohen; Qing Zhao 001 (IEEE Signal Process. Lett., 2021)

Learning in Restless Multiarmed Bandits via Adaptive Arm Sequencing Rules. - Tomer Gafni; Kobi Cohen (IEEE Trans. Autom. Control., 2021)

CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data. - Tomer Gafni; Kobi Cohen; Yonina C. Eldar (Allerton, 2022)

Restless Multi-Armed Bandits under Exogenous Global Markov Process. - Tomer Gafni; Michal Yemini; Kobi Cohen (ICASSP, 2022)

Composite Anomaly Detection via Hierarchical Dynamic Search. - Benjamin Wolff; Tomer Gafni; Guy Revach; Nir Shlezinger; Kobi Cohen (ISIT, 2022)

Distributed Learning Over Markovian Fading Channels for Stable Spectrum Access. - Tomer Gafni; Kobi Cohen (IEEE Access, 2022)

Federated Learning: A signal processing perspective. - Tomer Gafni; Nir Shlezinger; Kobi Cohen; Yonina C. Eldar; H. Vincent Poor (IEEE Signal Process. Mag., 2022)

Learning in Restless Bandits Under Exogenous Global Markov Process. - Tomer Gafni; Michal Yemini; Kobi Cohen (IEEE Trans. Signal Process., 2022)

Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models. - Tomer Gafni; Benjamin Wolff; Guy Revach; Nir Shlezinger; Kobi Cohen (IEEE Trans. Signal Process., 2023)

Active Change Point Anomaly Detection Over Composite Hypotheses. - Liad Lea Didi; Tomer Gafni; Kobi Cohen (Allerton, 2024)

Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model. - Liad Lea Didi; Tomer Gafni; Kobi Cohen (CoRR, 2024)

Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation. - Tomer Gafni; Kobi Cohen; Yonina C. Eldar (IEEE Trans. Signal Process., 2024)

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference. - Tomer Gafni; Asaf Karnieli; Yair Hanani (CVPR Workshops, 2025)

SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks. - Yaniv Cohen; Tomer Gafni; Ronen Greenberg; Kobi Cohen (IEEE Trans. Wirel. Commun., 2025)