Videos

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Identifying gene regulatory networks (GRNs) and predicting gene expression by leveraging temporal single cell experiments

Presenters
  • Ritambhara Singh
  • Bjorn Sandstede
December 14, 2023
ICERM
Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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
Real Time High Fidelity Bayesian Inversion, Prediction, and Optimal Sensor Placement for Large Scale LTI Systems Governed by Wave Equations, with Application to a Digital Twin for Tsunami Early Warning Thumbnail

Real Time High Fidelity Bayesian Inversion, Prediction, and Optimal Sensor Placement for Large Scale LTI Systems Governed by Wave Equations, with Application to a Digital Twin for Tsunami Early Warning

Presenter
  • Omar Ghattas
November 13, 2025
IMSI
What it will take to do first principles optimal design of fusion Thumbnail

What it will take to do first principles optimal design of fusion

Presenter
  • Andrew Christlieb
February 21, 2024
IMSI