Videos

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Jason Rute - Deep learning in interactive theorem proving - IPAM at UCLA Thumbnail

Jason Rute - Deep learning in interactive theorem proving - IPAM at UCLA

Presenter
  • Jason Rute
February 16, 2023
IPAM
Marc Lackenby - Using machine learning to formulate mathematical conjectures - IPAM at UCLA Thumbnail

Marc Lackenby - Using machine learning to formulate mathematical conjectures - IPAM at UCLA

Presenter
  • Marc Lackenby
February 14, 2023
IPAM
Oliver Eberle - Explainable structured machine learning in similarity, graph and transformer models Thumbnail

Oliver Eberle - Explainable structured machine learning in similarity, graph and transformer models

Presenter
  • Oliver Eberle
January 12, 2023
IPAM
Physics-Informed Learning Machines Thumbnail

Physics-Informed Learning Machines

Presenter
  • Maziar Raissi
September 1, 2022
IMSI
Establishing trust in decisions made from data: Physics-informed machine-learning models with computable generalization bounds Thumbnail

Establishing trust in decisions made from data: Physics-informed machine-learning models with computable generalization bounds

Presenter
  • Benjamin Peherstorfer
March 2, 2022
IMSI
Secure Learning in Adversarial Environments Thumbnail

Secure Learning in Adversarial Environments

Presenter
  • Bo Li
October 6, 2020
IPAM
Innovating machine learning with near-term quantum computing Thumbnail

Innovating machine learning with near-term quantum computing

Presenter
  • Maria Schuld
November 20, 2019
IPAM
Deep Learning: Triangle Machine Learning Day - Machine Learning from De-IdentifiedCoded Electronic Health Records (EHRs), David Page Thumbnail

Deep Learning: Triangle Machine Learning Day - Machine Learning from De-IdentifiedCoded Electronic Health Records (EHRs), David Page

September 20, 2019
SAMSI
Metric learning for persistence-based summaries and application to graph classification Thumbnail

Metric learning for persistence-based summaries and application to graph classification

Presenter
  • Yusu Wang
April 29, 2019
IPAM
Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach Thumbnail

Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach

Presenter
  • Marco Cavaglia
February 1, 2019
IPAM

Predictive CFD- Past, Present, and Future

Presenter
  • Antony Jameson
August 23, 2018
ICERM
A meta-machine-learning method for identifying effective descriptors of materials properties Thumbnail

A meta-machine-learning method for identifying effective descriptors of materials properties

Presenter
  • Luca Ghiringhelli
October 4, 2017
IPAM