Videos

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Leonid Petrov - From Random Tilings to Integrable Vertex Models (Part 1) - IPAM at UCLA Thumbnail

Leonid Petrov - From Random Tilings to Integrable Vertex Models (Part 1) - IPAM at UCLA

Presenter
  • Leonid Petrov
March 14, 2024
IPAM
Sanjay Ramassamy - Introduction to Discrete Integrable Systems (Part 1) - IPAM at UCLA Thumbnail

Sanjay Ramassamy - Introduction to Discrete Integrable Systems (Part 1) - IPAM at UCLA

Presenter
  • Sanjay Ramassamy
March 14, 2024
IPAM
Terrence George - Introduction to cluster algebras (Part 2) - IPAM at UCLA Thumbnail

Terrence George - Introduction to cluster algebras (Part 2) - IPAM at UCLA

Presenter
  • Terrence George
March 13, 2024
IPAM
Greta Panova - Symmetric Functions (Part 2) - IPAM at UCLA Thumbnail

Greta Panova - Symmetric Functions (Part 2) - IPAM at UCLA

Presenter
  • Greta Panova
March 13, 2024
IPAM
Greta Panova - Symmetric Functions (Part 1) - IPAM at UCLA Thumbnail

Greta Panova - Symmetric Functions (Part 1) - IPAM at UCLA

Presenter
  • Greta Panova
March 12, 2024
IPAM
Pavel Galashin - Introduction to cluster algebras (Part 1) - IPAM at UCLA Thumbnail

Pavel Galashin - Introduction to cluster algebras (Part 1) - IPAM at UCLA

Presenter
  • Pavel Galashin
March 12, 2024
IPAM
Systematically Generating Hierarchies of Machine-Learning Models, from Equation Discovery to Deep Neural Networks Thumbnail

Systematically Generating Hierarchies of Machine-Learning Models, from Equation Discovery to Deep Neural Networks

Presenter
  • Tom Beucler
November 4, 2022
IMSI
Fredholm Determinant Solutions of the Painlevé II Hierarchy and Gap Probabilities of Determinantal Point Processes Thumbnail

Fredholm Determinant Solutions of the Painlevé II Hierarchy and Gap Probabilities of Determinantal Point Processes

Presenter
  • Manuela Girotti
September 21, 2021
SLMath
Dealing with COVID-19 in Theory and Practice: Session III: Data Science II Thumbnail

Dealing with COVID-19 in Theory and Practice: Session III: Data Science II

Presenters
  • Xiao-Li Meng
  • Daniel Weitzner
October 29, 2020
IMSI
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Thumbnail

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Presenter
  • Daniel Kuhn
February 26, 2020
IPAM

Patient specific modelling of the endocrine HPA-axis and its relation to depression: Ultradian and circadian oscillations

Presenter
  • Johnny Ottesen
May 8, 2014
MBI
Probabilistic Models for Images: Markov Random Fields and basic sampling. Applications to image segmentation and texture modeling Thumbnail

Probabilistic Models for Images: Markov Random Fields and basic sampling. Applications to image segmentation and texture modeling

July 22, 2013
IPAM