Videos

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Graph-based Bayesian Semi-supervised Learning: Prior Design and Posterior Contraction Thumbnail

Graph-based Bayesian Semi-supervised Learning: Prior Design and Posterior Contraction

Presenter
  • Daniel Sanz-Alonso
May 12, 2021
IMSI
Machine Learning for Robotics: Achieving Safety, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture Thumbnail

Machine Learning for Robotics: Achieving Safety, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture

Presenter
  • Angela Schoellig
February 28, 2020
IPAM
MR image acquisition and reconstruction in the era of deep learning Thumbnail

MR image acquisition and reconstruction in the era of deep learning

Presenter
  • Florian Knoll
January 30, 2020
IPAM
Molecular design blueprints: materials and catalysts from new simulation and machine learning tools Thumbnail

Molecular design blueprints: materials and catalysts from new simulation and machine learning tools

Presenter
  • Heather Kulik
October 15, 2019
IPAM
Deep Learning: Triangle Machine Learning Day - Stacking Audience Models -- Using an Ensemble Approach for Predictive Modeling, Susan Xia Thumbnail

Deep Learning: Triangle Machine Learning Day - Stacking Audience Models -- Using an Ensemble Approach for Predictive Modeling, Susan Xia

September 20, 2019
SAMSI

New Progress on Stochastic Variance-Reduced Methods in Machine Learning: Adaptive Restart and Distributed Optimization

Presenter
  • Qihang Lin
December 12, 2017
IMA
Deep Learning for Many-Particle Systems Thumbnail

Deep Learning for Many-Particle Systems

Presenter
  • Pierre Baldi
February 27, 2015
IPAM
High-throughput Data and New representations for Models and Machine Learning Thumbnail

High-throughput Data and New representations for Models and Machine Learning

Presenter
  • Gus Hart
February 24, 2015
IPAM

Matrix-Mimetic Tensor Algebra: Optimal Decompositions and Equivariant Learning

Presenter
  • Lior Horesh
February 4, 2026
ICERM
Advances in certifiable model reduction: parametric LTI systems and operator learning Thumbnail

Advances in certifiable model reduction: parametric LTI systems and operator learning

Presenter
  • Akil Narayan
November 13, 2025
IMSI

Monoidal categorification and crystals

Presenter
  • Euiyong Park
September 17, 2025
ICERM
On kernelized particle systems for sampling and quantization Thumbnail

On kernelized particle systems for sampling and quantization

Presenter
  • Youssef Marzouk
April 2, 2025
IMSI