Videos

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Transfer learning for surrogate models of PDEs

Presenter
  • Adrienne Propp
June 6, 2023
ICERM

Operator Learning For Solving PDE-related Problems.

Presenter
  • zecheng zhang
June 7, 2023
ICERM

Multifidelity Deep Operator Networks

Presenter
  • Amanda Howard
June 7, 2023
ICERM
Introduction to Machine Learning for Gravitational Wave Astronomy (Part 1/2): General concepts and terminology Thumbnail

Introduction to Machine Learning for Gravitational Wave Astronomy (Part 1/2): General concepts and terminology

Presenter
  • Antonio Marquina
September 15, 2021
IPAM

Tropical Geometry Tools for Machine Learning and Phylogenomics

Presenter
  • Ruriko Yoshida
October 23, 2024
ICERM

Learning to Predict using Network of Spiking Neurons

Presenter
  • Biswadeep Chakraborty
June 8, 2023
ICERM

Transfer learning in deep operator networks

Presenter
  • Somdatta Goswami
June 7, 2023
ICERM
Introduction to Machine Learning for Gravitational Wave Astronomy (Part 2/2): Variational models and Dictionary learning Thumbnail

Introduction to Machine Learning for Gravitational Wave Astronomy (Part 2/2): Variational models and Dictionary learning

Presenter
  • Antonio Marquina
September 21, 2021
IPAM

Learning Neural Operators for Complex Physical System Modeling

Presenter
  • Yue Yu
June 9, 2023
ICERM

GFlowNets to accelerate scientific discovery with machine learning

Presenter
  • Alex Hernandez-Garcia
June 6, 2023
ICERM

Data science for social equality

Presenter
  • Emma Pierson
March 10, 2021
ICERM

A Method for Computing Inverse Parametric PDE Problems with Randomized Neural Networks

Presenter
  • Suchuan Dong
June 9, 2023
ICERM