Videos

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Decision-Aware Learning for Global Health Supply Chains Thumbnail

Decision-Aware Learning for Global Health Supply Chains

Presenter
  • Hamsa Bastani
April 3, 2023
IMSI
Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds Thumbnail

Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds

Presenter
  • Nicolas Garcia Trillos
May 7, 2020
SLMath
Understanding machine learning via exactly solvable statistical physics models Thumbnail

Understanding machine learning via exactly solvable statistical physics models

Presenter
  • Lenka Zdeborova
November 18, 2019
IPAM
Physics-Constrained Data-Driven Modeling : A Vision for Prediction, Design and Operation of Complex Systems Thumbnail

Physics-Constrained Data-Driven Modeling : A Vision for Prediction, Design and Operation of Complex Systems

Presenter
  • Karthik Duraisamy
March 8, 2018
IMA

Introduction to Topological Data Analysis and Machine Learning

Presenter
  • John Harer
October 23, 2014
ICERM
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems Thumbnail

A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems

Presenter
  • Xiaochuan Tian
May 15, 2024
IMSI
Datamodels: Predicting Predictions with Training Data Thumbnail

Datamodels: Predicting Predictions with Training Data

Presenter
  • Aleksander Madry
March 7, 2022
SLMath

Characterizing Transitions in Developmental Biology using Topological Machine Learning

Presenter
  • Dhananjay Bhaskar
December 17, 2021
ICERM
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
Deep Learning Opening Workshop: Horseshoe Regularization for Machine Learning in Complex and Deep Models, Anindya Bhadra Thumbnail

Deep Learning Opening Workshop: Horseshoe Regularization for Machine Learning in Complex and Deep Models, Anindya Bhadra

August 12, 2019
SAMSI
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty Thumbnail

Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty

Presenter
  • Paris Perdikaris
September 28, 2018
IPAM
Advances in Probabilistic Generative Modeling for Scientific Machine Learning Thumbnail

Advances in Probabilistic Generative Modeling for Scientific Machine Learning

Presenter
  • Fei Sha
June 11, 2025
IMSI