Videos

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Integrating Artificial Intelligence / Machine Learning with 
Data Assimilation - towards the initialization of 
subseasonal-to-seasonal (S2S) prediction

Presenter
  • Steve Penny
August 23, 2021
ICERM
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models Thumbnail

Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models

Presenter
  • Chris Sutton
November 21, 2019
IPAM
Statistical Mechanics of Deep Manifolds: Mean Field Geometry in High Dimension Thumbnail

Statistical Mechanics of Deep Manifolds: Mean Field Geometry in High Dimension

Presenter
  • Haim Sompolinsky
November 19, 2019
IPAM
Understanding ML models Thumbnail

Understanding ML models

Presenter
  • Klaus-Robert Muller
October 30, 2019
IPAM
Novel Technologies for Artificial Intelligence: prospects and challenges Thumbnail

Novel Technologies for Artificial Intelligence: prospects and challenges

Presenter
  • Stefano Ambrogio
November 29, 2018
IPAM
Public Lecture: Deep Learning and the Future of Artificial Intelligence Thumbnail

Public Lecture: Deep Learning and the Future of Artificial Intelligence

Presenter
  • Yann LeCun
February 5, 2018
IPAM
How far can Bayesian theories of vision take us Thumbnail

How far can Bayesian theories of vision take us

Presenter
  • Daniel Kersten
October 6, 2015
SLMath

Takaharu Yaguchi - Geometric-Structure-Preserving Machine Learning for Cross-System Prediction of Conservative/Dissipative Hamiltonian Systems

September 18, 2026
IPAM

Robert Joseph George - Verified Scientific Machine Learning in Lean

September 18, 2026
IPAM

Matthew Sottile - Physics to Simulation: The Deep Stack of Formalization

September 18, 2026
IPAM

Andrew Appel - Building a Formally Verified Finite Element Method Solver, One Component At a Time

September 18, 2026
IPAM

Koji Hashimoto - On the interpretability of neural network solutions of PDEs in theoretical physics

September 18, 2026
IPAM