Dates: December 16th - 22nd, 2023.
Times: 9:00am - 5:00pm each day
Location: USC; Sumwalt College, room 219
Invited Speakers
- Stanley Osher, UCLA
In-Context Operator Learning with Data Prompts for Differential Equation Problems - Lincoln Lu, USC
Probabilistic Method for Complex Graph - Yifan Chen, NYU
Design of gradient flows for sampling probability distributions - Qi Feng, FSU
Variational Ricci curvature Langevin dynamics: entropy dissipation and its inverse problem - Guosheng Fu, Notre Dame
Finite elements meet optimal transport on a Schrodinger bridge - Shu Liu, UCLA
A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method - Yiwei Wang, UC Riverside
Energetic variational discretizations of complex fluid models - Xianjin Yang, Caltech
Inferring strategies and environments from observed populations for mean field games by Gaussian processes - Bohan Zhou, UCSB
Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs - Mo Zhou, UCLA
Advancing Stochastic Optimal Control: An Actor-Critic Framework - Jia-jie Zhu, WIAS Berlin
Robust Learning under Distribution Shift: Kernel Methods and Gradient Flow Force-Balance - Yuan Gao, Purdue University
Convex optimization for measures: Transition path and Mean field game for jump processes - Xinzhe Zuo, UCLA
- Haonan Zhang, USC
- Siming He, USC
- Jaiqi Leng, University of Maryland
- Wuchen Li, USC
- Hong Wang, USC