| How to train your neural ODE: the world of Jacobian and kinetic regularization C Finlay, JH Jacobsen, L Nurbekyan, A Oberman International conference on machine learning, 3154-3164, 2020 | 184* | 2020 |
| A machine learning framework for solving high-dimensional mean field game and mean field control problems L Ruthotto, SJ Osher, W Li, L Nurbekyan, SW Fung Proceedings of the National Academy of Sciences 117 (17), 9183-9193, 2020 | 140 | 2020 |
| Economic models and mean-field games theory DA Gomes, L Nurbekyan, EA Pimentel Publicaoes Matematicas, IMPA, Rio, Brazil, 2015 | 96 | 2015 |
| Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games AT Lin, SW Fung, W Li, L Nurbekyan, SJ Osher Proceedings of the National Academy of Sciences 118 (31), e2024713118, 2021 | 72* | 2021 |
| One-dimensional stationary mean-field games with local coupling DA Gomes, L Nurbekyan, M Prazeres Dynamic Games and Applications 8, 315-351, 2018 | 49* | 2018 |
| A neural network approach for high-dimensional optimal control applied to multiagent path finding D Onken, L Nurbekyan, X Li, SW Fung, S Osher, L Ruthotto IEEE Transactions on Control Systems Technology 31 (1), 235-251, 2022 | 26* | 2022 |
| Computational methods for first-order nonlocal mean field games with applications S Liu, M Jacobs, W Li, L Nurbekyan, SJ Osher SIAM Journal on Numerical Analysis 59 (5), 2639-2668, 2021 | 25* | 2021 |
| Explicit solutions of one-dimensional, first-order, stationary mean-field games with congestion DA Gomes, L Nurbekyan, M Prazeres 2016 IEEE 55th Conference on Decision and Control (CDC), 4534-4539, 2016 | 24 | 2016 |
| First-order, stationary mean-field games with congestion D Evangelista, R Ferreira, DA Gomes, L Nurbekyan, V Voskanyan Nonlinear Analysis 173, 37-74, 2018 | 21 | 2018 |
| A mean-field game economic growth model D Gomes, L Lafleche, L Nurbekyan 2016 American Control Conference (ACC), 4693-4698, 2016 | 20 | 2016 |
| Fourier approximation methods for first-order nonlocal mean-field games L Nurbekyan, J Saúde Portugaliae Mathematica 75 (3), 367-396, 2019 | 18 | 2019 |
| A neural network approach applied to multi-agent optimal control D Onken, L Nurbekyan, X Li, SW Fung, S Osher, L Ruthotto 2021 European Control Conference (ECC), 1036-1041, 2021 | 17 | 2021 |
| The variational structure and time-periodic solutions for mean-field games systems M Cirant, L Nurbekyan arXiv preprint arXiv:1804.08943, 2018 | 17 | 2018 |
| One-dimensional forward–forward mean-field games DA Gomes, L Nurbekyan, M Sedjro Applied Mathematics & Optimization 74, 619-642, 2016 | 17 | 2016 |
| One-dimensional, non-local, first-order, stationary mean-field games with congestion: a Fourier approach L Nurbekyan arXiv preprint arXiv:1703.03954, 2017 | 15 | 2017 |
| Splitting methods for a class of non-potential mean field games S Liu, L Nurbekyan arXiv preprint arXiv:2007.00099, 2020 | 13 | 2020 |
| Radially symmetric mean-field games with congestion D Evangelista, DA Gomes, L Nurbekyan 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 3158-3163, 2017 | 11 | 2017 |
| On the stability of the polygonal isoperimetric inequality E Indrei, L Nurbekyan Advances in Mathematics 276, 62-86, 2015 | 11 | 2015 |
| On the minimizers of calculus of variations problems in Hilbert spaces D Gomes, L Nurbekyan Calculus of Variations and Partial Differential Equations 52 (1-2), 65-93, 2015 | 10 | 2015 |
| Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems L Nurbekyan, W Lei, Y Yang arXiv preprint arXiv:2202.06236, 2022 | 8* | 2022 |
Diogo Aguiar GomesKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
