Offline Meta Reinforcement Learning--Identifiability Challenges and Effective Data Collection Strategies R Dorfman, I Shenfeld, A Tamar Advances in Neural Information Processing Systems 34, 4607-4618, 2021 | 108* | 2021 |
Adapting to Mixing Time in Stochastic Optimization with Markovian Data R Dorfman, KY Levy International Conference on Machine Learning (ICML), 5429-5446, 2022 | 35 | 2022 |
DoCoFL: Downlink Compression for Cross-Device Federated Learning R Dorfman, S Vargaftik, Y Ben-Itzhak, KY Levy International Conference on Machine Learning (ICML), 8356-8388, 2023 | 20 | 2023 |
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers R Dorfman, N Yehya, KY Levy International Conference on Machine Learning (ICML), 11501-11543, 2024 | 2 | 2024 |
Spatio-Temporal Detection of Cumulonimbus Clouds in Infrared Satellite Images R Dorfman, E Wagner, A Lahav, A Amar, R Talmon, Y Halle IEEE International Conference on the Science of Electrical Engineering in …, 2018 | 1 | 2018 |
Entropy-Constrained Uniform Quantization Y Ben-itzhak, S Vargaftik, R Dorfman US Patent App. 18/466,687, 2025 | | 2025 |
Compression of Model Weights for Distributed and Federated Learning Y Ben-itzhak, S Vargaftik, R Dorfman US Patent App. 18/067,503, 2024 | | 2024 |