Videos

Start date cannot be after end date.
Bridging Scales in Materials Modeling With Occam-Shaved Machine Learning Thumbnail

Bridging Scales in Materials Modeling With Occam-Shaved Machine Learning

Presenter
  • Luca Ghiringhelli
March 29, 2024
IMSI
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA Thumbnail

Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA

Presenter
  • Ryan Sweke
October 17, 2023
IPAM
Vinod Nair - Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA Thumbnail

Vinod Nair - Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA

Presenter
  • Vinod Nair
February 27, 2023
IPAM
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
Ewin Tang - On quantum linear algebra for machine learning Thumbnail

Ewin Tang - On quantum linear algebra for machine learning

Presenter
  • Ewin Tang
January 25, 2022
IPAM

Graph embeddings in symmetric spaces

Presenter
  • Anna Wienhard
June 14, 2021
ICERM
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers Thumbnail

Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers

Presenter
  • Maxime Gasse
February 24, 2021
IPAM
Dataset Search and Augmentation Thumbnail

Dataset Search and Augmentation

Presenter
  • Juliana Freire
November 17, 2020
IPAM
Learning-Based Sketching Algorithms Thumbnail

Learning-Based Sketching Algorithms

Presenter
  • Piotr Indyk
August 25, 2020
IAS
Nonlinear Independent Component Analysis Thumbnail

Nonlinear Independent Component Analysis

Presenter
  • Aapo Hyvärinen
August 4, 2020
IAS
PCS workflow, interpretable machine learning, and DeepTune Thumbnail

PCS workflow, interpretable machine learning, and DeepTune

Presenter
  • Bin Yu
May 2, 2019
IPAM
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression Thumbnail

A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression

Presenter
  • Xiaoye Li
September 26, 2018
IPAM