Topology of deep neural networks G Naitzat, A Zhitnikov, LH Lim
Journal of Machine Learning Research 21 (184), 1-40, 2020
175 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
8 2022 Simplified belief-dependent reward mcts planning with guaranteed tree consistency O Sztyglic, A Zhitnikov, V Indelman
arXiv preprint arXiv:2105.14239, 2021
7 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 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
Vadim IndelmanAssociate Professor, Technionبريد إلكتروني تم التحقق منه على technion.ac.il