Videos

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Julia Westermayr - Physically inspired machine learning for excited states Thumbnail

Julia Westermayr - Physically inspired machine learning for excited states

Presenter
  • Julia Westermayr
May 27, 2022
IPAM
Julia Contreras-García - Math-chimie: developing approaches for predicting new superconductors Thumbnail

Julia Contreras-García - Math-chimie: developing approaches for predicting new superconductors

Presenter
  • Julia Contreras-García
May 5, 2022
IPAM
Julien Toulouse - Basis-set correction based on density-functional theory Thumbnail

Julien Toulouse - Basis-set correction based on density-functional theory

Presenter
  • Julien Toulouse
May 2, 2022
IPAM
Random Clusters in the Villain Model Thumbnail

Random Clusters in the Villain Model

Presenter
  • Julien Dubedat
March 29, 2022
SLMath
TTK tutorial Thumbnail

TTK tutorial

Presenter
  • Julien Tierny
March 1, 2022
IMSI
Classifying small fusion categories Thumbnail

Classifying small fusion categories

Presenter
  • Julia Plavnik
January 28, 2021
IPAM
Dataset Search and Augmentation Thumbnail

Dataset Search and Augmentation

Presenter
  • Juliana Freire
November 17, 2020
IPAM
How to zest your modular categories Thumbnail

How to zest your modular categories

Presenter
  • Julia Plavnik
March 25, 2020
SLMath

Modular Tensor Categories

Presenter
  • Julia Plavnik
January 23, 2020
SLMath
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications Thumbnail

Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications

Presenter
  • Julia Ling
October 14, 2019
IPAM

A Combined Numerical, Mathematical, and Empirical Model to Predict the Evolution of Drug Resistance

Presenter
  • Julia Pelesko
August 6, 2018
MBI

Parameter estimation for the evaluation and the comparison of microscopic crowd simulation algorithms

Presenter
  • Julien Pettré
August 22, 2017
ICERM