Videos

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Machine Learning in Materials Science: Recent Progress and Critical Next Steps Thumbnail

Machine Learning in Materials Science: Recent Progress and Critical Next Steps

Presenter
  • Rampi Ramprasad
September 26, 2016
IPAM
Bryan Clark - Variational Wavefunctions, Machine Learning Architecture for Fermions & Gauge Theories Thumbnail

Bryan Clark - Variational Wavefunctions, Machine Learning Architecture for Fermions & Gauge Theories

Presenter
  • Bryan Clark
May 26, 2022
IPAM

Transfer learning in deep operator networks

Presenter
  • Somdatta Goswami
June 7, 2023
ICERM
Deep learning algorithm for core-collapse supernova detection Thumbnail

Deep learning algorithm for core-collapse supernova detection

Presenter
  • Irene Di Palma
December 1, 2021
IPAM
Learning structured models of physics Thumbnail

Learning structured models of physics

Presenter
  • Peter Battaglia
October 16, 2019
IPAM
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

Learning to Predict using Network of Spiking Neurons

Presenter
  • Biswadeep Chakraborty
June 8, 2023
ICERM
Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin Thumbnail

Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin

August 28, 2019
SAMSI
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
Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis Thumbnail

Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis

Presenter
  • Mary Scott
December 1, 2022
IPAM
Supervised Learning and Canonical Decomposition of Multivariate Functions (Joint work with Nikos Kargas) Thumbnail

Supervised Learning and Canonical Decomposition of Multivariate Functions (Joint work with Nikos Kargas)

Presenter
  • Nikos Sidiropoulos
May 5, 2021
IPAM
Variational approximation of dynamical systems using machine learning Thumbnail

Variational approximation of dynamical systems using machine learning

Presenter
  • Frank Noé
February 11, 2019
IPAM