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Improvements and extensions to the K-FAC method for training neural nets
Presenter
- James Martens
February 21, 2019
ICERM
Optimal quasi-Monte Carlo rules on higher order digital nets for numerical integration of multivariate periodic functions
Presenter
- Aicke Hinrichs
September 17, 2014
ICERM
PART 1: Introduction to Deep Learning & Deep Belief Nets
Presenter
- Geoffrey Hinton
July 9, 2012
IPAM
Universal Laws and Architectures: Theory and Lessons from Brains, Nets, Hearts, Bugs, Grids, Flows, and Zombies
Presenter
- John Doyle
November 16, 2015
IMA
Universal Laws and Architectures: Theory and Lessons from Brains, Nets, Hearts, Bugs, Grids, Flows, and Zombies
Presenter
- John Doyle
October 2, 2015
IMA
Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA
Presenter
- Geordie Williamson
February 13, 2023
IPAM
Assumption-free prediction intervals for black-box regression algorithms
Presenter
- Aaditya Ramdas
April 21, 2020
IAS
A theoretical look at adversarial examples: a perspective from high-dimensional geometry
Presenter
- Tom Goldstein
May 21, 2019
IPAM
Public Lecture: Deep Learning and the Future of Artificial Intelligence
Presenter
- Yann LeCun
February 5, 2018
IPAM
