Videos

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Transferring Diffusion Based Manifold Learning to Trajectories, Time Varying Data, and Geometric Deep Learning

Presenter
  • Matthew Hirn
December 11, 2017
ICERM
Wavelets 2 Thumbnail

Wavelets 2

Presenter
  • Matthew Hirn
September 14, 2016
IPAM
Wavelets 1 Thumbnail

Wavelets 1

Presenter
  • Matthew Hirn
September 13, 2016
IPAM
Quantum Chemistry Energy Regression with Deep Scattering Networks Thumbnail

Quantum Chemistry Energy Regression with Deep Scattering Networks

Presenter
  • Stéphane Mallat
February 25, 2015
IPAM
Matthew Otten - Classical-First Pathways to Early Fault-Tolerant Quantum Chemistry - IPAM at UCLA Thumbnail

Matthew Otten - Classical-First Pathways to Early Fault-Tolerant Quantum Chemistry - IPAM at UCLA

Presenter
  • Matthew Otten
February 17, 2026
IPAM

Quantile Slice Sampling

Presenter
  • Matthew Heiner
January 16, 2026
ICERM
Matthew Rosenzweig - Recent progress on mean-field dynamics of Coulomb/Riesz gases - IPAM at UCLA Thumbnail

Matthew Rosenzweig - Recent progress on mean-field dynamics of Coulomb/Riesz gases - IPAM at UCLA

Presenter
  • Matthew Rosenzweig
September 16, 2025
IPAM
On Over-Parametrized Models and Sobolev Training Thumbnail

On Over-Parametrized Models and Sobolev Training

Presenter
  • Matthew Li
June 12, 2025
IMSI

Machine learning in gravitational-wave population inference

Presenter
  • Matthew Mould
June 5, 2025
ICERM
Progress Around the Boone-Higman Conjecture Thumbnail

Progress Around the Boone-Higman Conjecture

Presenter
  • Matthew Zaremsky
March 25, 2025
IAS

Matrix completion and tensor codes

Presenter
  • Matthew Larson
March 20, 2025
ICERM

Mechanically balanced packings and configuration space topology

Presenter
  • Matthew Kahle
February 14, 2025
ICERM