Videos

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Automatic Selection of Compiler Optimizations Using Graph-Based Program Characterization

Presenter
  • John Cavazos
January 12, 2012
ICERM
Emerging Programming and Machine Models: Opportunities for Numerical Algorithms R&D Thumbnail

Emerging Programming and Machine Models: Opportunities for Numerical Algorithms R&D

Presenter
  • Michael Heroux
January 14, 2011
IMA
Non-commutative harmonic analysis in machine learning Thumbnail

Non-commutative harmonic analysis in machine learning

Presenter
  • Risi Kondor
December 15, 2008
SLMath
A Geometric perspective on machine Learning Thumbnail

A Geometric perspective on machine Learning

Presenter
  • Partha Niyogi
October 27, 2008
IMA

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

September 18, 2026
IPAM

Yusu Wang - Neural Network Generalization through an algorithmic lens

September 2, 2026
IPAM

Injectivity and Stability for Geometric Deep Learning

Presenter
  • Nadav Dym
July 9, 2026
ICERM

How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions

Presenter
  • Jeffrey Bilmes
July 1, 2026
ICERM

Discrete Optimization and Classification Trees

Presenter
  • Illya Hicks
June 29, 2026
ICERM

Can NNs Learn Generalizable (Geometric) Algorithms

Presenter
  • Yusu Wang
May 19, 2026
ICERM

Role-Specialized Agentic Orchestration for Adaptive Learning and Trustworthy Verification and Validation

Presenter
  • Guang Lin
May 10, 2026
ICERM

Advancing science and medicine with collaborative AI agents

Presenter
  • Vivek Natarajan
May 10, 2026
ICERM