Levon Nurbekyan

According to our database, Levon Nurbekyan authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Applications of No-Collision Transportation Maps in Manifold Learning.

Elisa Negrini, Levon Nurbekyan

SIAM J. Math. Data Sci., March, 2024

Monotone inclusion methods for a class of second-order non-potential mean-field games.

Levon Nurbekyan, Siting Liu, Yat Tin Chow

CoRR, 2024

2023

Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems.

Levon Nurbekyan, Wanzhou Lei, Yunan Yang

SIAM J. Sci. Comput., August, 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., March, 2023

A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding.

Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto

IEEE Trans. Control. Syst. Technol., 2023

A note on the convergence of the monotone inclusion version of the primal-dual hybrid gradient algorithm.

Levon Nurbekyan

CoRR, 2023

Adaptive Preconditioned Gradient Descent with Energy.

Hailiang Liu, Levon Nurbekyan, Xuping Tian, Yunan Yang

CoRR, 2023

2022

Random features for high-dimensional nonlocal mean-field games.

Sudhanshu Agrawal, Wonjun Lee, Samy Wu Fung, Levon Nurbekyan

J. Comput. Phys., 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

A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem.

Yat Tin Chow, Samy Wu Fung, Siting Liu, Levon Nurbekyan, Stanley J. Osher

CoRR, 2022

Efficient Natural Gradient Descent Methods for Large-Scale Optimization Problems.

Levon Nurbekyan, Wanzhou Lei, Yunan Yang

CoRR, 2022

2021

Computational Methods for First-Order Nonlocal Mean Field Games with Applications.

Siting Liu, Matthew Jacobs, Wuchen Li, Levon Nurbekyan, Stanley J. Osher

SIAM J. Numer. Anal., 2021

A Neural Network Approach Applied to Multi-Agent Optimal Control.

Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto

Proceedings of the 2021 European Control Conference, 2021

2020

No-Collision Transportation Maps.

Levon Nurbekyan, Alexander Iannantuono, Adam M. Oberman

J. Sci. Comput., 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

How to train your neural ODE.

Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M. Oberman

CoRR, 2020

How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization.

Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M. Oberman

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

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

2018

One-Dimensional Stationary Mean-Field Games with Local Coupling.

Diogo A. Gomes, Levon Nurbekyan, Mariana Oliveira Prazeres

Dyn. Games Appl., 2018

2017

Radially symmetric mean-field games with congestion.

David Evangelista, Diogo A. Gomes, Levon Nurbekyan

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Explicit solutions of one-dimensional, first-order, stationary mean-field games with congestion.

Diogo A. Gomes, Levon Nurbekyan, Mariana Oliveira Prazeres

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A mean-field game economic growth model.

Diogo A. Gomes, Laurent Lafleche, Levon Nurbekyan

Proceedings of the 2016 American Control Conference, 2016