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Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport
Presenter
- Stanley Osher
July 14, 2025
IPAM
Jiajia Yu - Learning and Inference in Mean-Field Games - IPAM at UCLA
Presenter
- Jiajia Yu
July 16, 2025
IPAM
DISTRIBUTIONALLY ROBUST LEARNING OVER DEEP NEURAL NETWORKS AND THEIR ASSOCIATED REGULARIZED RISK
Presenter
- Camilo Garcia Trillos
May 24, 2022
IMSI
A map-based approach to Bayesian inference in inverse problems
Presenter
- Youssef Marzouk
June 8, 2011
IMA
Markos Katsoulakis - Hamilton-Jacobi Equations, Mean-Field Games, and Optimal Control for Robust ML
Presenter
- Markos Katsoulakis
July 17, 2025
IPAM
A theory of trajectory inference for scRNA-seq and lineage tracing data
Presenter
- Elias Ventre
December 13, 2023
ICERM
Tingwei Meng - Bayesian sampler for inverse problems of a stochastic process by leveraging HJ PDEs
Presenter
- Tingwei Meng
July 17, 2025
IPAM
Estimating turbulent mixing by ocean eddies using superresolved satellite observations
Presenter
- Shane Keating
October 13, 2014
IPAM
A brief review of progress and some remaining challenges in modelling plant development
Presenter
- Vince Gutschick
October 1, 2010
MBI
What it will take to do first principles optimal design of fusion
Presenter
- Andrew Christlieb
February 21, 2024
IMSI
Controls of Cardiovascular-Respiratory System under Ergometric Workload
Presenter
- Aurelio de los Reyes V
November 1, 2017
MBI