Levon Nurbekyan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Locality Preserving

Radially Symmetric

Manifold Learning

Top Venues

IEEE Trans. Control. Syst. Technol.

SIAM J. Math. Data Sci.

Publications

Elisa Negrini, Levon Nurbekyan
Applications of No-Collision Transportation Maps in Manifold Learning. SIAM J. Math. Data Sci. 6 (1) (2024)
Levon Nurbekyan, Siting Liu, Yat Tin Chow
Monotone inclusion methods for a class of second-order non-potential mean-field games. CoRR (2024)
Levon Nurbekyan, Wanzhou Lei, Yunan Yang
Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems. SIAM J. Sci. Comput. 45 (4) (2023)
Levon Nurbekyan
A note on the convergence of the monotone inclusion version of the primal-dual hybrid gradient algorithm. CoRR (2023)
Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. IEEE Trans. Control. Syst. Technol. 31 (1) (2023)
Hailiang Liu, Levon Nurbekyan, Xuping Tian, Yunan Yang
Adaptive Preconditioned Gradient Descent with Energy. CoRR (2023)
Yunan Yang, Levon Nurbekyan, Elisa Negrini, Robert Martin, Mirjeta Pasha
Optimal Transport for Parameter Identification of Chaotic Dynamics via Invariant Measures. SIAM J. Appl. Dyn. Syst. 22 (1) (2023)
Elisa Negrini, Levon Nurbekyan
Applications of No-Collision Transportation Maps in Manifold Learning. CoRR (2023)
Sudhanshu Agrawal, Wonjun Lee, Samy Wu Fung, Levon Nurbekyan
Random Features for High-Dimensional Nonlocal Mean-Field Games. CoRR (2022)
Alexander Vidal, Samy Wu Fung, Luis Tenorio, Stanley J. Osher, Levon Nurbekyan
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme. CoRR (2022)
Yat Tin Chow, Samy Wu Fung, Siting Liu, Levon Nurbekyan, Stanley J. Osher
A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem. CoRR (2022)
Sudhanshu Agrawal, Wonjun Lee, Samy Wu Fung, Levon Nurbekyan
Random features for high-dimensional nonlocal mean-field games. J. Comput. Phys. 459 (2022)
Levon Nurbekyan, Wanzhou Lei, Yunan Yang
Efficient Natural Gradient Descent Methods for Large-Scale Optimization Problems. CoRR (2022)
Siting Liu, Matthew Jacobs, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
Computational Methods for First-Order Nonlocal Mean Field Games with Applications. SIAM J. Numer. Anal. 59 (5) (2021)
Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
A Neural Network Approach Applied to Multi-Agent Optimal Control. ECC (2021)
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M. Oberman
How to train your neural ODE. CoRR (2020)
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M. Oberman
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization. ICML (2020)
Alex Tong Lin, Samy Wu Fung, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. CoRR (2020)
Levon Nurbekyan, Alexander Iannantuono, Adam M. Oberman
No-Collision Transportation Maps. J. Sci. Comput. 82 (2) (2020)
Lars Ruthotto, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. CoRR (2019)
Diogo A. Gomes, Levon Nurbekyan, Mariana Prazeres
One-Dimensional Stationary Mean-Field Games with Local Coupling. Dyn. Games Appl. 8 (2) (2018)
David Evangelista, Diogo A. Gomes, Levon Nurbekyan
Radially symmetric mean-field games with congestion. CDC (2017)
Diogo A. Gomes, Levon Nurbekyan, Mariana Prazeres
Explicit solutions of one-dimensional, first-order, stationary mean-field games with congestion. CDC (2016)
Diogo A. Gomes, Laurent Lafleche, Levon Nurbekyan
A mean-field game economic growth model. ACC (2016)