Videos

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On Large Deviation Principles for Large Neural Networks Thumbnail

On Large Deviation Principles for Large Neural Networks

Presenter
  • Joan Bruna
October 16, 2019
IAS
Universal large deviations for the empirical measures of random polynomials Thumbnail

Universal large deviations for the empirical measures of random polynomials

Presenter
  • Raphael Butez
August 14, 2019
AIM
Modular large deformation and shape aware metrics in shape analysis Thumbnail

Modular large deformation and shape aware metrics in shape analysis

Presenter
  • Alain Trouve
April 18, 2019
IPAM
The large-N limits of conditional expectation Thumbnail

The large-N limits of conditional expectation

Presenter
  • Guillaume Cébron
May 15, 2018
IPAM
Forecasting large collections of times series Thumbnail

Forecasting large collections of times series

Presenter
  • George Athanasopoulos
February 22, 2018
IMA
How Large is the Norm of a Random Matrix? Thumbnail

How Large is the Norm of a Random Matrix?

Presenter
  • Ramon van Handel
April 17, 2015
IMA
Statistical Mechanics of Multiplex Networks Thumbnail

Statistical Mechanics of Multiplex Networks

Presenter
  • Ginestra Bianconi
May 1, 2014
IMA

Representing Large and Complex Data

Presenter
  • Gunnar Carlsson
September 18, 2013
IMA
Training Large Convolutional Neural Network Models for Image Classification Thumbnail

Training Large Convolutional Neural Network Models for Image Classification

Presenter
  • Rob Fergus
July 30, 2013
IPAM
Dynamic Utilities and Long Term Interest Rates Thumbnail

Dynamic Utilities and Long Term Interest Rates

Presenter
  • Nicole El Karoui
May 19, 2012
IMA
Learning on Manifolds Thumbnail

Learning on Manifolds

Presenter
  • Fatih Porikli
April 8, 2011
IMA

Universality for roots of derivatives of entire functions

Presenter
  • David Renfrew
August 7, 2025
ICERM