Levon Nurbekyan

29 papers A* 1C 3Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentiating through Stochastic Differential Equations: A Primer. CoRR Rishi Leburu, Levon Nurbekyan, Lars Ruthotto
2026	J	`jnl`	Mean-field control barrier functions for stochastic multi-agent systems. CoRR Cinzia Tomaselli, Gian Carlo Maffettone, Samy Wu Fung, Levon Nurbekyan, Mario di Bernardo
2025	J	`jnl`	A primal-dual price-optimization method for computing equilibrium prices in mean-field games models. CoRR Xu Wang, Samy Wu Fung, Levon Nurbekyan
2025	C	`conf`	Kernel Expansions for High-Dimensional Mean-Field Control with Non-local Interactions. ACC Alexander Vidal, Samy Wu Fung, Stanley J. Osher, Luis Tenorio, Levon Nurbekyan
2025	C	`conf`	Mean-Field Control Barrier Functions: A Framework for Real-Time Swarm Control. ACC Samy Wu Fung, Levon Nurbekyan
2024	J	`jnl`	Applications of No-Collision Transportation Maps in Manifold Learning. SIAM J. Math. Data Sci. Elisa Negrini, Levon Nurbekyan
2024	J	`jnl`	Monotone inclusion methods for a class of second-order non-potential mean-field games. CoRR Levon Nurbekyan, Siting Liu, Yat Tin Chow
2023	J	`jnl`	A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. IEEE Trans. Control. Syst. Technol. Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
2023	J	`jnl`	A note on the convergence of the monotone inclusion version of the primal-dual hybrid gradient algorithm. CoRR Levon Nurbekyan
2023	J	`jnl`	Adaptive Preconditioned Gradient Descent with Energy. CoRR Hailiang Liu, Levon Nurbekyan, Xuping Tian, Yunan Yang
2023	J	`jnl`	Applications of No-Collision Transportation Maps in Manifold Learning. CoRR Elisa Negrini, Levon Nurbekyan
2023	J	`jnl`	Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems. SIAM J. Sci. Comput. Levon Nurbekyan, Wanzhou Lei, Yunan Yang
2023	J	`jnl`	Optimal Transport for Parameter Identification of Chaotic Dynamics via Invariant Measures. SIAM J. Appl. Dyn. Syst. Yunan Yang, Levon Nurbekyan, Elisa Negrini, Robert Martin, Mirjeta Pasha
2022	J	`jnl`	A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem. CoRR Yat Tin Chow, Samy Wu Fung, Siting Liu, Levon Nurbekyan, Stanley J. Osher
2022	J	`jnl`	Efficient Natural Gradient Descent Methods for Large-Scale Optimization Problems. CoRR Levon Nurbekyan, Wanzhou Lei, Yunan Yang
2022	J	`jnl`	Random Features for High-Dimensional Nonlocal Mean-Field Games. CoRR Sudhanshu Agrawal, Wonjun Lee, Samy Wu Fung, Levon Nurbekyan
2022	J	`jnl`	Random features for high-dimensional nonlocal mean-field games. J. Comput. Phys. Sudhanshu Agrawal, Wonjun Lee, Samy Wu Fung, Levon Nurbekyan
2022	J	`jnl`	Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme. CoRR Alexander Vidal, Samy Wu Fung, Luis Tenorio, Stanley J. Osher, Levon Nurbekyan
2021	—	`conf`	A Neural Network Approach Applied to Multi-Agent Optimal Control. ECC Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
2021	J	`jnl`	Computational Methods for First-Order Nonlocal Mean Field Games with Applications. SIAM J. Numer. Anal. Siting Liu, Matthew Jacobs, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
2020	J	`jnl`	APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. CoRR Alex Tong Lin, Samy Wu Fung, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
2020	A*	`conf`	How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization. ICML Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M. Oberman
2020	J	`jnl`	How to train your neural ODE. CoRR Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M. Oberman
2020	J	`jnl`	No-Collision Transportation Maps. J. Sci. Comput. Levon Nurbekyan, Alexander Iannantuono, Adam M. Oberman
2019	J	`jnl`	A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. CoRR Lars Ruthotto, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung
2018	J	`jnl`	One-Dimensional Stationary Mean-Field Games with Local Coupling. Dyn. Games Appl. Diogo A. Gomes, Levon Nurbekyan, Mariana Oliveira Prazeres
2017	—	`conf`	Radially symmetric mean-field games with congestion. CDC David Evangelista, Diogo A. Gomes, Levon Nurbekyan
2016	C	`conf`	A mean-field game economic growth model. ACC Diogo A. Gomes, Laurent Lafleche, Levon Nurbekyan
2016	—	`conf`	Explicit solutions of one-dimensional, first-order, stationary mean-field games with congestion. CDC Diogo A. Gomes, Levon Nurbekyan, Mariana Oliveira Prazeres