Common lines modeling for reference free ab-initio reconstruction in cryo-EM I Greenberg, Y Shkolnisky Journal of structural biology 200 (2), 106-117, 2017 | 27 | 2017 |
Efficient risk-averse reinforcement learning I Greenberg, Y Chow, M Ghavamzadeh, S Mannor Advances in Neural Information Processing Systems 35, 32639-32652, 2022 | 25 | 2022 |
Dynamic planning in open-ended dialogue using reinforcement learning D Cohen, M Ryu, Y Chow, O Keller, I Greenberg, A Hassidim, M Fink, ... arXiv preprint arXiv:2208.02294, 2022 | 11 | 2022 |
A graph partitioning approach to simultaneous angular reconstitution G Pragier, I Greenberg, X Cheng, Y Shkolnisky IEEE transactions on computational imaging 2 (3), 323-334, 2016 | 11 | 2016 |
Detecting rewards deterioration in episodic reinforcement learning I Greenberg, S Mannor International Conference on Machine Learning, 3842-3853, 2021 | 10 | 2021 |
Optimization or Architecture: How to Hack Kalman Filtering I Greenberg, N Yannay, S Mannor Advances in Neural Information Processing Systems 36, 2023 | 7* | 2023 |
Individualized Dosing Dynamics via Neural Eigen Decomposition S Belogolovsky, I Greenberg, D Eytan, S Mannor Advances in Neural Information Processing Systems 36, 2023 | 2* | 2023 |
Cross Entropy Method with Non-stationary Score Function I Greenberg PyPI package (https://pypi.org/project/cross-entropy-method), 2022 | 2 | 2022 |
Train Hard, Fight Easy: Robust Meta Reinforcement Learning I Greenberg, S Mannor, G Chechik, E Meirom Advances in Neural Information Processing Systems 36, 2023 | 1 | 2023 |