A mean-field game economic growth model. - Diogo A. Gomes 002; Laurent Lafleche; Levon Nurbekyan (ACC, 2016)

Explicit solutions of one-dimensional, first-order, stationary mean-field games with congestion. - Diogo A. Gomes 002; Levon Nurbekyan; Mariana Oliveira Prazeres (CDC, 2016)

Radially symmetric mean-field games with congestion. - David Evangelista; Diogo A. Gomes 002; Levon Nurbekyan (CDC, 2017)

One-Dimensional Stationary Mean-Field Games with Local Coupling. - Diogo A. Gomes 002; Levon Nurbekyan; Mariana Oliveira Prazeres (Dyn. Games Appl., 2018)

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. - Lars Ruthotto; Stanley J. Osher; Wuchen Li; Levon Nurbekyan; Samy Wu Fung (CoRR, 2019)

How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization. - Chris Finlay; Jörn-Henrik Jacobsen; Levon Nurbekyan; Adam M. Oberman (ICML, 2020)

How to train your neural ODE. - Chris Finlay; Jörn-Henrik Jacobsen; Levon Nurbekyan; Adam M. Oberman (CoRR, 2020)

APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. - Alex Tong Lin; Samy Wu Fung; Wuchen Li; Levon Nurbekyan; Stanley J. Osher (CoRR, 2020)

No-Collision Transportation Maps. - Levon Nurbekyan; Alexander Iannantuono; Adam M. Oberman (J. Sci. Comput., 2020)

A Neural Network Approach Applied to Multi-Agent Optimal Control. - Derek Onken; Levon Nurbekyan; Xingjian Li 005; Samy Wu Fung; Stanley J. Osher; Lars Ruthotto (ECC, 2021)

Computational Methods for First-Order Nonlocal Mean Field Games with Applications. - Siting Liu 003; Matthew Jacobs; Wuchen Li; Levon Nurbekyan; Stanley J. Osher (SIAM J. Numer. Anal., 2021)

Efficient Natural Gradient Descent Methods for Large-Scale Optimization Problems. - Levon Nurbekyan; Wanzhou Lei; Yunan Yang (CoRR, 2022)

A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem. - Yat Tin Chow; Samy Wu Fung; Siting Liu 003; Levon Nurbekyan; Stanley J. Osher (CoRR, 2022)

Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme. - Alexander Vidal; Samy Wu Fung; Luis Tenorio; Stanley J. Osher; Levon Nurbekyan (CoRR, 2022)

Random features for high-dimensional nonlocal mean-field games. - Sudhanshu Agrawal; Wonjun Lee 004; Samy Wu Fung; Levon Nurbekyan (J. Comput. Phys., 2022)

Adaptive Preconditioned Gradient Descent with Energy. - Hailiang Liu; Levon Nurbekyan; Xuping Tian; Yunan Yang (CoRR, 2023)

A note on the convergence of the monotone inclusion version of the primal-dual hybrid gradient algorithm. - Levon Nurbekyan (CoRR, 2023)

A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. - Derek Onken; Levon Nurbekyan; Xingjian Li 005; Samy Wu Fung; Stanley J. Osher; Lars Ruthotto (IEEE Trans. Control. Syst. Technol., 2023)

Optimal Transport for Parameter Identification of Chaotic Dynamics via Invariant Measures. - Yunan Yang; Levon Nurbekyan; Elisa Negrini; Robert Martin; Mirjeta Pasha (SIAM J. Appl. Dyn. Syst., 2023)

Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems. - Levon Nurbekyan; Wanzhou Lei; Yunan Yang (SIAM J. Sci. Comput., 2023)

Monotone inclusion methods for a class of second-order non-potential mean-field games. - Levon Nurbekyan; Siting Liu 003; Yat Tin Chow (CoRR, 2024)

Applications of No-Collision Transportation Maps in Manifold Learning. - Elisa Negrini; Levon Nurbekyan (SIAM J. Math. Data Sci., 2024)

Mean-Field Control Barrier Functions: A Framework for Real-Time Swarm Control. - Samy Wu Fung; Levon Nurbekyan (ACC, 2025)

Kernel Expansions for High-Dimensional Mean-Field Control with Non-local Interactions. - Alexander Vidal; Samy Wu Fung; Stanley J. Osher; Luis Tenorio; Levon Nurbekyan (ACC, 2025)

A primal-dual price-optimization method for computing equilibrium prices in mean-field games models. - Xu Wang; Samy Wu Fung; Levon Nurbekyan (CoRR, 2025)