Topology of deep neural networks G Naitzat, A Zhitnikov, LH Lim Journal of Machine Learning Research 21 (184), 1-40, 2020 | 176 | 2020 |
Spectrum sharing solution for automotive radar KV Mishra, A Zhitnikov, YC Eldar 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-5, 2017 | 29 | 2017 |
Simplified risk-aware decision making with belief-dependent rewards in partially observable domains A Zhitnikov, V Indelman Artificial Intelligence 312, 103775, 2022 | 11 | 2022 |
Geometrically constrained, unsupervised training of convolutional autoencoders for extraction of eye landmarks O Haimovitch-Yogev, T Mizrahi, A Zhitnikov, A David, A Borzin, G Drozdov US Patent 11,514,720, 2022 | 9 | 2022 |
Simplified belief-dependent reward mcts planning with guaranteed tree consistency O Sztyglic, A Zhitnikov, V Indelman arXiv preprint arXiv:2105.14239, 2021 | 8 | 2021 |
No compromise in solution quality: Speeding up belief-dependent continuous POMDPs via adaptive multilevel simplification A Zhitnikov, O Sztyglic, V Indelman arXiv preprint arXiv:2310.10274, 2023 | 6 | 2023 |
Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints A Zhitnikov, V Indelman IEEE Transactions on Robotics, 2023 | 5 | 2023 |
Risk Aware Adaptive Belief-dependent Probabilistically Constrained Continuous POMDP Planning A Zhitnikov, V Indelman arXiv preprint arXiv:2209.02679, 2022 | 4 | 2022 |
Probabilistic loss and its online characterization for simplified decision making under uncertainty A Zhitnikov, V Indelman arXiv preprint arXiv:2105.05789, 2021 | 2 | 2021 |
Revealing common statistical behaviors in heterogeneous populations A Zhitnikov, R Mulayoff, T Michaeli International Conference on Machine Learning, 5950-5959, 2018 | 1 | 2018 |
Anytime Incremental POMDP Planning in Continuous Spaces R Benchetrit, I Lev-Yehudi, A Zhitnikov, V Indelman arXiv preprint arXiv:2502.02549, 2025 | | 2025 |
Anytime Probabilistically Constrained Provably Convergent Online Belief Space Planning A Zhitnikov, V Indelman arXiv preprint arXiv:2411.06711, 2024 | | 2024 |
Geometrically constrained, unsupervised training of convolutional autoencoders for extraction of eye landmarks O Haimovitch-Yogev, T Mizrahi, A Zhitnikov, A David, A Borzin, G Drozdov US Patent 12,093,835, 2024 | | 2024 |
No compromise in solution quality: Speeding up belief-dependent continuous partially observable Markov decision processes via adaptive multilevel simplification A Zhitnikov, O Sztyglic, V Indelman The International Journal of Robotics Research, 02783649241261398, 2024 | | 2024 |
Supplementary materials for paper: Revealing Common Statistical Behaviors in Heterogeneous Populations A Zhitnikov, R Mulayoff, T Michaeli | | |