Spectrum Sharing Solution for Automotive Radar. - Kumar Vijay Mishra; Andrey Zhitnikov; Yonina C. Eldar (VTC Spring, 2017)

Revealing Common Statistical Behaviors in Heterogeneous Populations. - Andrey Zhitnikov; Rotem Mulayoff; Tomer Michaeli (ICML, 2018)

Topology of Deep Neural Networks. - Gregory Naitzat; Andrey Zhitnikov; Lek-Heng Lim (J. Mach. Learn. Res., 2020)

Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty. - Andrey Zhitnikov; Vadim Indelman (CoRR, 2021)

Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency. - Ori Sztyglic; Andrey Zhitnikov; Vadim Indelman (CoRR, 2021)

Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains. - Andrey Zhitnikov; Vadim Indelman (Artif. Intell., 2022)

Risk Aware Belief-dependent Constrained POMDP Planning. - Andrey Zhitnikov; Vadim Indelman (CoRR, 2022)

Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract). - Andrey Zhitnikov; Vadim Indelman (IJCAI, 2023)

No Compromise in Solution Quality: Speeding Up Belief-dependent Continuous POMDPs via Adaptive Multilevel Simplification. - Andrey Zhitnikov; Ori Sztyglic; Vadim Indelman (CoRR, 2023)

Anytime Probabilistically Constrained Provably Convergent Online Belief Space Planning. - Andrey Zhitnikov; Vadim Indelman (CoRR, 2024)

Simplified Continuous High-Dimensional Belief Space Planning With Adaptive Probabilistic Belief-Dependent Constraints. - Andrey Zhitnikov; Vadim Indelman (IEEE Trans. Robotics, 2024)

No compromise in solution quality: Speeding up belief-dependent continuous partially observable Markov decision processes via adaptive multilevel simplification. - Andrey Zhitnikov; Ori Sztyglic; Vadim Indelman (Int. J. Robotics Res., 2025)

Anytime Incremental ρPOMDP Planning in Continuous Spaces. - Ron Benchetrit; Idan Lev-Yehudi; Andrey Zhitnikov; Vadim Indelman (CoRR, 2025)