Videos

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Environment-adaptive machine learning potentials for atomistic simulations of materials under extreme conditions Thumbnail

Environment-adaptive machine learning potentials for atomistic simulations of materials under extreme conditions

Presenter
  • Ngoc-Cuong Nguyen
April 9, 2024
IMSI

Enforcing Structure in Scientific Machine Learning for Computational Decision Support & Digital Twins

Presenter
  • Karthik Duraisamy
March 23, 2024
ICERM

Using Trained Machine Learning Predictors in Gurobi

Presenter
  • Tobias Achterberg
April 27, 2023
ICERM
Root Number Correlation Bias of Fourier Coefficients of Modular Forms Thumbnail

Root Number Correlation Bias of Fourier Coefficients of Modular Forms

Presenter
  • Nina Zubrilina
April 20, 2023
IAS
Introduction to Interpretable Machine Learning IV Thumbnail

Introduction to Interpretable Machine Learning IV

Presenter
  • Cynthia Rudin
May 27, 2022
IAS
Introduction to Interpretable Machine Learning II Thumbnail

Introduction to Interpretable Machine Learning II

Presenter
  • Cynthia Rudin
May 24, 2022
IAS
Introduction to Interpretable Machine Learning Thumbnail

Introduction to Interpretable Machine Learning

Presenter
  • Cynthia Rudin
May 23, 2022
IAS
Spectral Gap in Regular Graphs and Hypergraphs Thumbnail

Spectral Gap in Regular Graphs and Hypergraphs

Presenter
  • Ioana Dumitriu
September 24, 2021
SLMath
Sampling Beyond Log-concavity Thumbnail

Sampling Beyond Log-concavity

Presenter
  • Andrej Risteski
April 15, 2021
IMSI
Sparse Random Features for Function Approximation Thumbnail

Sparse Random Features for Function Approximation

Presenter
  • Rachel Ward
April 13, 2021
IMSI
On Langevin Dynamics in Machine Learning Thumbnail

On Langevin Dynamics in Machine Learning

Presenter
  • Michael Jordan
June 11, 2020
IAS
Learning with entropy-regularized optimal transport Thumbnail

Learning with entropy-regularized optimal transport

Presenter
  • Aude Genevay
May 8, 2020
SLMath