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Monotone Inclusion Methods for a Class of Second-order Non-potential Mean-field Games, 2025 SIAM Conference on Control and Its Applications, Montreal, Canada, Jul 2025
Efficient Computational Methods for Wasserstein Natural Gradient Descent, 2025 International Conference on Continuous Optimization, Los Angeles, USA, Jul 2025
Mean-field Control Barrier Functions: a Framework for Real-time Swarm Control, 2025 American Control Conference, Denver, USA, Jul 2025
Non-potential Mean-field Games a là Benamou-Brenier, Georgia Tech Elaine Hubbard PDE Seminar, Atlanta, USA, Mar 2025
Efficient Computational Methods for Wasserstein Natural Gradient Descent, 2025 SIAM Conference on Computational Science and Engineering, Fort Worth, USA, Mar 2025
Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems, SIAM Conference on Imaging Science (IS24), Atlanta, USA, May 2024
A Novel Computational Framework for Mean-Field Games, 2024 Georgia Scientific Computing Symposium, Emory University, Atlanta, USA, Feb 2024
Applications of No-Collision Transportation Maps in Manifold Learning, SIAM New York-New Jersey-Pennsylvania Annual Meeting, Newark, USA, Oct 2023
On Some Applications of No-collision Transportation Maps in Manifold Learning, SIAM Conference on Optimization, Seattle, USA, Jun 2023
Leveraging the Geometry of Optimal Transportation in Parameter Identification and Related Problems, Yerevan Mathematical Colloquium, Yerevan, Armenia, Apr 2023
On Mean-Field Games, Yerevan Mathematical Colloquium, Yerevan, Armenia, Mar 2023
No-Collision Transportation Maps in Image Processing and Data Science, Foundations of Measure Transport: Theory and Computation Course, CalTech, USA, Feb 2023
Machine Learning Techniques for High-Dimensional Optimal Control, MSRI Special Session on Applied and Computational Mathematics at 2023 Joint Mathematics Meeting, Boston, USA, Jan 2023
Non-Potential Mean-Field Games à la Benamou-Brenier, Special Session on Variational Methods, Optimal Control and Hamilton-Jacobi Equations at 2023 Joint Mathematics Meeting, Boston, USA, Jan 2023
Non-Potential Mean-Field Games à la Benamou-Brenier, High Dimensional Hamilton-Jacobi PDEs Reunion Conference, Lake Arrowhead, California, USA, Dec 2022
Efficient natural gradient method for large-scale optimization problems, Math Machine Learning Seminar MPI MiS + UCLA, Online, Dec 2022
Variational analysis of mean-field games, Applied Math/PDE/Data Science Seminar, UCSB, Nov 2022
Mean-field games, SCAN Seminar, Cornell, USA, Oct 2022
Mean-field games, Computational Mathematics+X (CMX) Seminar, Caltech, USA, Oct 2022
Efficient natural gradient method for large-scale optimization problems, The Applied Mathematics and Statistics Colloquium, Colorado School of Mines, USA, Oct 2022
Efficient natural gradient method for large-scale optimization problems, SIAM Conference on Mathematics of Data Science, San Diego, California, USA, Sep 2022
Neural ODEs and normalizing flows, Summer School on Mathematical Foundation of Data Science, University of South Carolina, USA, July 2022
Efficient natural gradient method for large-scale optimization problems, Workshop on Optimal Transport: Theory, Computation, and Biology, University of California, Irvine, USA, Jun 2022
Random features for high-dimensional nonlocal mean-field games, Optimal Transport and Mean-Field Games Seminar, University of South Carolina, USA, May 2022
Efficient natural gradient method for large-scale optimization problems, TrAC Workshop on Scientific Machine Learning: Foundations and Applications, Iowa State University, USA, Apr 2022
Efficient natural gradient method for large-scale optimization problems, Mathematics of Deep Learning Collective, Iowa State University, USA, Feb 2022
Optimal Transport for Inverse Problems in Dynamical Systems, Hamilton Jacobi PDEs Reunion Conference I, IPAM, UCLA, USA, Jan 2022
Dimension reduction techniques for nonlocal mean-field games via feature expansions and moments, Workshop on Mean-Field Models for Interacting Agents, Institute for Mathematical and Statistical Innovation, University of Chicago, USA, Nov 2021
On nonlocal interactions in mean-field games, Workshop on Mean-Field Games on Networks, University of British Columbia, Vancouver, Canada, Oct 2021
Optimal transport for inverse problems in dynamical systems, Paris Workshop on Optimal Transport with Applications to Economics and Statistics, Sciences Po, Paris, France, Oct 2021
A neural network approach for high-dimensional real-time optimal control, Mathematics and Deep Learning Collective, Iowa State University, Ames, USA, Oct 2021
On variational methods for mean-field games, Online Workshop on Mean-Field Games and Related Fields, African Institute for Mathematical Sciences, Cape Town, South Africa, Mar 2021
Spectral and machine-learning methods for mean-field games, AMS Special Session on PDEs in Optimization, Control, and Games, Joint Mathematics Meeting, Denver, USA, Jan 2021
Machine learning methods for solving high-dimensional mean-field game systems, IMA Data Science Seminar, University of Minnesota, Twin-Cities, USA, Nov 2020
On a machine-learning framework for solving high-dimensional mean-field games, Minisymposium "The Intersection of Optimal Control and Machine Learning", 2nd joint SIAM/CAIMS Annual Meeting (AN20), Toronto, Canada, Jul 2020
Primal-dual methods for mean-field game and control problems via monotone inclusions, Hamilton-Jacobi PDEs Culminating Workshop, IPAM, UCLA, Jun 2020
Computational methods for nonlocal mean field games with applications, Hamilton-Jacobi PDEs Workshop III: Mean Field Games and Applications, IPAM, UCLA, May 2020
Tutorial on computational methods for mean-field games, High Dimensional Hamilton-Jacobi PDEs Tutorials, IPAM, UCLA, Mar 2020
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