Videos

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Geoffrey Woollard - Stochastic inference and Computational Optimal Transport in 3D heterogeneity Thumbnail

Geoffrey Woollard - Stochastic inference and Computational Optimal Transport in 3D heterogeneity

Presenter
  • Geoffrey Woollard
November 14, 2022
IPAM

Reconciliation of genome-scale metabolic networks

Presenter
  • Jason Papin
April 13, 2016
MBI
Tutorial - Politics, Petitions, and Propagation Thumbnail

Tutorial - Politics, Petitions, and Propagation

Presenter
  • David Liben-Nowell
February 28, 2012
IMA
Patch-based diffusion models for solving inverse problem Thumbnail

Patch-based diffusion models for solving inverse problem

Presenter
  • Jeffrey Fessler
August 7, 2024
IMSI
Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA Thumbnail

Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA

Presenter
  • Xavier Bresson
February 27, 2023
IPAM
Matteo Valleriani - XAI Historian - IPAM at UCLA Thumbnail

Matteo Valleriani - XAI Historian - IPAM at UCLA

Presenter
  • Matteo Valleriani
January 12, 2023
IPAM
Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA Thumbnail

Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA

Presenter
  • Demetri Psaltis
October 13, 2022
IPAM
Learning from data through the lens of (ocean) models, surrogates, and their derivatives Thumbnail

Learning from data through the lens of (ocean) models, surrogates, and their derivatives

Presenter
  • Patrick Heimbach
September 22, 2022
IMSI
Finding a neutrino in a haystack: computational challenges for the IceCube Neutrino Observatory Thumbnail

Finding a neutrino in a haystack: computational challenges for the IceCube Neutrino Observatory

Presenter
  • Nathan Whitehorn
December 1, 2021
IPAM
Learning to Sample Thumbnail

Learning to Sample

Presenter
  • Shai Avidan
October 9, 2020
IPAM
Splines and imaging: From compressed sensing to deep neural networks Thumbnail

Splines and imaging: From compressed sensing to deep neural networks

Presenter
  • MIchael Unser
January 27, 2020
IPAM

Hierarchical Bayesian Inference with Transformers: Approximation Theory and Learned Representations

Presenter
  • Sergio Bacallado
January 16, 2026
ICERM