Videos

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Computational learning of dynamical systems with stability constraints

Presenter
  • Peter Benner
January 7, 2025
ICERM

From Data to Structure: Learning Mechanical Systems Via Rational Functions

Presenter
  • Steffen W. R. Werner
January 7, 2025
ICERM

Advantages of Weak-Form Equation Learning in Reduced-Order Models for Parametric PDEs

Presenter
  • April Tran
January 6, 2025
ICERM

Operator Learning via an Auto-Encoder-Based Nonlinear Model Reduction and its Error Analysis

Presenter
  • Rongjie Lai
January 6, 2025
ICERM

Digital Twins and Optimization

Presenter
  • Harbir Antil
January 6, 2025
ICERM

Large Eddy Simulation Reduced Order Models (LES-ROMs) for Turbulent Flows

Presenter
  • Traian Iliescu
January 6, 2025
ICERM

Robust and Scalable Learning of Gaussian Mixture Models

Presenter
  • Kisung You
December 17, 2021
ICERM
Scalable Machine Learning for Predicting the Electronic Structure of Matter Thumbnail

Scalable Machine Learning for Predicting the Electronic Structure of Matter

Presenter
  • Attila Cangi
March 25, 2024
IMSI
Exploiting linear models for transferability and long-range interactions Thumbnail

Exploiting linear models for transferability and long-range interactions

Presenter
  • Julien Lam
April 11, 2024
IMSI
Integrating Autonomy into Transportation Systems Thumbnail

Integrating Autonomy into Transportation Systems

Presenter
  • Cathy Wu
February 27, 2019
IPAM
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS