Videos

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GFlowNets to accelerate scientific discovery with machine learning

Presenter
  • Alex Hernandez-Garcia
June 6, 2023
ICERM

Learning Reduced-Order Models for Cardiovascular Simulations using Graph Neural Networks


Presenter
  • Luca Pegolotti
June 6, 2023
ICERM

Transfer learning for surrogate models of PDEs

Presenter
  • Adrienne Propp
June 6, 2023
ICERM

On Learning Operators

Presenter
  • Siddhartha Mishra
June 6, 2023
ICERM

Cell-average based neural network method for time dependent problems

Presenter
  • Jue Yan
June 5, 2023
ICERM

Neural architecture search for scientific machine learning

Presenter
  • Romit Maulik
June 5, 2023
ICERM
Leveraging Data Science and Machine Learning for Optimal Global Health Outcomes Thumbnail

Leveraging Data Science and Machine Learning for Optimal Global Health Outcomes

Presenter
  • Joan LaRovere
May 17, 2023
IMSI
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
Decision-Aware Learning for Global Health Supply Chains Thumbnail

Decision-Aware Learning for Global Health Supply Chains

Presenter
  • Hamsa Bastani
April 3, 2023
IMSI
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA Thumbnail

Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA

Presenter
  • Pascal Van Hentenryck
March 1, 2023
IPAM
Louis Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery Thumbnail

Louis Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery

Presenter
  • Louis-Martin Rousseau
March 1, 2023
IPAM
Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA Thumbnail

Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA

Presenter
  • Timo Berthold
March 1, 2023
IPAM