Videos

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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

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
Unpacking the ingredients of atomic representations: machine learning force fields and beyond Thumbnail

Unpacking the ingredients of atomic representations: machine learning force fields and beyond

Presenter
  • Jigyasa Nigam
April 9, 2024
IMSI
Di Fang - Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning - IPAM at UCLA Thumbnail

Di Fang - Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning - IPAM at UCLA

Presenter
  • Di Fang
February 7, 2024
IPAM
Nonstandard minimax rates in nonparametric latent variable models and representation learning Thumbnail

Nonstandard minimax rates in nonparametric latent variable models and representation learning

Presenter
  • Bryon Aragam
December 11, 2023
IMSI