Videos

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Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA Thumbnail

Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA

Presenter
  • Michele Ceriotti
January 11, 2023
IPAM
Cecelia Clementi - Designing molecular models with machine learning and experimental data Thumbnail

Cecelia Clementi - Designing molecular models with machine learning and experimental data

Presenter
  • Cecelia Clementi
January 11, 2023
IPAM
Soledad Villar - Introduction to equivariant machine learning - IPAM at UCLA Thumbnail

Soledad Villar - Introduction to equivariant machine learning - IPAM at UCLA

Presenter
  • Soledad Villar
October 27, 2022
IPAM
Ivan Pedro Lobato Hoyos - Application of machine learning to electron microscopy data - IPAM at UCLA Thumbnail

Ivan Pedro Lobato Hoyos - Application of machine learning to electron microscopy data - IPAM at UCLA

Presenter
  • Ivan Hoyos
October 25, 2022
IPAM
Jan Hermann - Neural-network wave functions for quantum chemistry Thumbnail

Jan Hermann - Neural-network wave functions for quantum chemistry

Presenter
  • Jan Hermann
May 25, 2022
IPAM
Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA Thumbnail

Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA

Presenter
  • Shiwei Zhang
May 23, 2022
IPAM
Hub and Spokes Model for Governmental Statistics: Data Linkage and Data Security Thumbnail

Hub and Spokes Model for Governmental Statistics: Data Linkage and Data Security

Presenter
  • Keunkwan Ryu
February 10, 2022
IMSI
A Fast and Programmable Accelerator for Fully Homomorphic Encryption Thumbnail

A Fast and Programmable Accelerator for Fully Homomorphic Encryption

Presenter
  • Daniel Sanchez
February 7, 2022
IMSI
Quantum barren plateaus and a possible way out Thumbnail

Quantum barren plateaus and a possible way out

Presenter
  • Maria Kieferova
May 27, 2021
IMSI
The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks Thumbnail

The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks

Presenter
  • Kamalika Chaudhuri
April 16, 2021
IMSI

Bayesian nonparametrics and g-computation for causal inference in observational studies

Presenter
  • Jason Roy
January 15, 2019
ICERM
Tutorial - Algorithms for Sparse Optimization and Machine Learning Thumbnail

Tutorial - Algorithms for Sparse Optimization and Machine Learning

Presenter
  • Stephen Wright
March 27, 2012
IMA