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Andrey Zhitnikov
Andrey Zhitnikov
Verified email at campus.technion.ac.il
Title
Cited by
Cited by
Year
Topology of deep neural networks
G Naitzat, A Zhitnikov, LH Lim
Journal of Machine Learning Research 21 (184), 1-40, 2020
1342020
Spectrum sharing solution for automotive radar
KV Mishra, A Zhitnikov, YC Eldar
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-5, 2017
282017
Simplified belief-dependent reward mcts planning with guaranteed tree consistency
O Sztyglic, A Zhitnikov, V Indelman
arXiv preprint arXiv:2105.14239, 2021
72021
Simplified risk-aware decision making with belief-dependent rewards in partially observable domains
A Zhitnikov, V Indelman
Artificial Intelligence 312, 103775, 2022
62022
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
22022
Risk Aware Adaptive Belief-dependent Probabilistically Constrained Continuous POMDP Planning
A Zhitnikov, V Indelman
arXiv preprint arXiv:2209.02679, 2022
22022
Probabilistic loss and its online characterization for simplified decision making under uncertainty
A Zhitnikov, V Indelman
arXiv preprint arXiv:2105.05789, 2021
22021
Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints
A Zhitnikov, V Indelman
IEEE Transactions on Robotics, 2023
12023
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
12023
Revealing common statistical behaviors in heterogeneous populations
A Zhitnikov, R Mulayoff, T Michaeli
International Conference on Machine Learning, 5950-5959, 2018
12018
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 App. 17/971,601, 2023
2023
Supplementary materials for paper: Revealing Common Statistical Behaviors in Heterogeneous Populations
A Zhitnikov, R Mulayoff, T Michaeli
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Articles 1–12