Videos

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Automated Multireference Electronic Structure Theories Thumbnail

Automated Multireference Electronic Structure Theories

Presenter
  • Laura Gagliardi
March 26, 2024
IMSI
Computational Infrastructure Requirements for Deep Learning Thumbnail

Computational Infrastructure Requirements for Deep Learning

Presenter
  • Yann LeCun
November 7, 2018
IPAM
Deanna Needell - Using Algebraic Factorizations for Interpretable Learning Thumbnail

Deanna Needell - Using Algebraic Factorizations for Interpretable Learning

Presenter
  • Deanna Needell
September 13, 2022
IPAM
Computational Complexity of Learning ReLUs Thumbnail

Computational Complexity of Learning ReLUs

Presenter
  • Surbhi Goel
April 15, 2021
IMSI
Sparsity-enforced regularizations for optimal learning of high-dimensional systems from random data Thumbnail

Sparsity-enforced regularizations for optimal learning of high-dimensional systems from random data

Presenter
  • Clayton Webster
October 17, 2018
IPAM
Learning with entropy-regularized optimal transport Thumbnail

Learning with entropy-regularized optimal transport

Presenter
  • Aude Genevay
May 8, 2020
SLMath
Direct and dual Information Bottleneck frameworks for Deep Learning Thumbnail

Direct and dual Information Bottleneck frameworks for Deep Learning

Presenter
  • Tali Tishby
February 24, 2020
IAS
Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting Thumbnail

Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting

Presenter
  • Geoffrey Hutchison
December 6, 2016
IPAM
Partial Difference Operators on Weighted Graphs for Point Cloud Processing - From 3D Surfaces to Machine Learning Thumbnail

Partial Difference Operators on Weighted Graphs for Point Cloud Processing - From 3D Surfaces to Machine Learning

Presenter
  • Daniel Tenbrinck
February 9, 2016
IPAM
Joshua Schrier - Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA Thumbnail

Joshua Schrier - Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA

Presenter
  • Joshua Schrier
May 2, 2023
IPAM
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Thumbnail

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Presenter
  • Daniel Kuhn
February 26, 2020
IPAM

Factorizations, centers, and the Jucys—Murphy elements of the Hecke algebra

Presenter
  • Sarah Brauner
September 18, 2025
ICERM