15 citations · 39 across the 12 of their papers we have counts for
9 papers · 1 filter
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme
Alexander Vidal, Samy Wu Fung, Luis Tenorio +2
A normalizing flow (NF) is a mapping that transforms a chosen probability distribution to a normal distribution. Such flows are a common technique used for data generation and dens…
Neural ODE Control for Trajectory Approximation of Continuity Equation
Karthik Elamvazhuthi, Bahman Gharesifard, Andrea Bertozzi +1
We consider the controllability problem for the continuity equation, corresponding to neural ordinary differential equations (ODEs), which describes how a probability measure is pu…
Controlling conservation laws II: compressible Navier-Stokes equations
Wuchen Li, Siting Liu, Stanley Osher
We propose, study, and compute solutions to a class of optimal control problems for hyperbolic systems of conservation laws and their viscous regularization. We take barotropic com…
A Fast Proximal Gradient Method and Convergence Analysis for Dynamic Mean Field Planning
Jiajia Yu, Rongjie Lai, Wuchen Li +1
In this paper, we propose an efficient and flexible algorithm to solve dynamic mean-field planning problems based on an accelerated proximal gradient method. Besides an easy-to-imp…
A mean field game inverse problem
Lisang Ding, Wuchen Li, Stanley Osher +1
Mean-field games arise in various fields including economics, engineering, and machine learning. They study strategic decision making in large populations where the individuals int…
Controlling Propagation of epidemics via mean-field control
Wonjun Lee, Siting Liu, Hamidou Tembine +2
The coronavirus disease 2019 (COVID-19) pandemic is changing and impacting lives on a global scale. In this paper, we introduce a mean-field game model in controlling the propagati…