Videos

Start date cannot be after end date.
George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA Thumbnail

George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA

Presenter
  • George Barbastathis
October 11, 2022
IPAM

Machine Learning for discrete optimization: Graph Neural Networks, generalization under shifts, and loss functions

Presenter
  • Stefanie Jegelka
April 26, 2023
ICERM
Uncertainty Quantification for Learning-based Computational Imaging Thumbnail

Uncertainty Quantification for Learning-based Computational Imaging

Presenter
  • M\u00fcjdat \u00c7etin
August 5, 2024
IMSI

Multiscale Diffusion Geometry for Learning Manifolds, Flows and Optimal Transport

Presenter
  • Smita Krishnaswamy
June 27, 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
Deep Learning: Triangle Machine Learning Day - Machine Learning for 3D Imaging, Sayan Mukherjee Thumbnail

Deep Learning: Triangle Machine Learning Day - Machine Learning for 3D Imaging, Sayan Mukherjee

September 20, 2019
SAMSI
Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA Thumbnail

Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA

Presenter
  • Bartolomeo Stellato
March 1, 2023
IPAM
Multi-scale modeling of materials revisited: Accelerated computing and machine learning Thumbnail

Multi-scale modeling of materials revisited: Accelerated computing and machine learning

Presenter
  • Kaushik Bhattacharya
February 15, 2021
IMSI

Applications of No-Collision Transportation Maps in Manifold Learning

Presenter
  • Elisa Negrini
May 9, 2023
ICERM
On Sparse Linear Programming and (simple) neural networks Thumbnail

On Sparse Linear Programming and (simple) neural networks

Presenter
  • Joan Bruna
February 24, 2021
IPAM
Team 3: Fast nearest neighbor search in massive high-dimensional sparse data sets Thumbnail

Team 3: Fast nearest neighbor search in massive high-dimensional sparse data sets

Presenter
  • Sanjiv Kumar
August 3, 2011
IMA
Computational/Statistical Gaps for Learning Neural Networks Thumbnail

Computational/Statistical Gaps for Learning Neural Networks

Presenter
  • Adam Klivans
April 13, 2021
IMSI