Videos

Start date cannot be after end date.
Bridging Deep Neural Networks and Differential Equations for Image Analysis and Beyond Thumbnail

Bridging Deep Neural Networks and Differential Equations for Image Analysis and Beyond

Presenter
  • Bin Dong
May 1, 2019
IPAM
Efficient quantum algorithms for variational state preparation Thumbnail

Efficient quantum algorithms for variational state preparation

Presenter
  • Giuseppe Carleo
May 28, 2021
IMSI
Private AI: Machine Learning on Encrypted Data Thumbnail

Private AI: Machine Learning on Encrypted Data

Presenter
  • Kristin Lauter
October 7, 2020
IMSI
PDE Approaches for Deep Learning Thumbnail

PDE Approaches for Deep Learning

Presenter
  • Stanley Osher
May 1, 2019
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

Utilizing Numerical Optimization to Improve the Utility of Data-Based Forecasting Models

Presenter
  • Genetha Gray
October 13, 2017
IMA
Machine learning based multi-scale modeling Thumbnail

Machine learning based multi-scale modeling

Presenter
  • Weinan E
October 15, 2019
IPAM
New directions in machine learning - Part II Thumbnail

New directions in machine learning - Part II

Presenter
  • Terry Lyons
May 15, 2015
IPAM
New directions in machine learning - Part I Thumbnail

New directions in machine learning - Part I

Presenter
  • Terry Lyons
May 15, 2015
IPAM

Spectral Optimization via Matroid Intersection

Presenter
  • Mohit Singh
August 26, 2024
ICERM
MSRI / SLMath 40th Anniversary Symposium: Machine Assisted Proofs Thumbnail

MSRI / SLMath 40th Anniversary Symposium: Machine Assisted Proofs

Presenter
  • Terence Tao
April 13, 2023
SLMath
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning Thumbnail

Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning

Presenter
  • Michael Mahoney
October 14, 2019
IPAM