Videos

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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
Learning molecular model from simulation and experimental data Thumbnail

Learning molecular model from simulation and experimental data

Presenter
  • Cecilia Clementi
October 14, 2019
IPAM
Loops, Toeplitz Operators and Representations Thumbnail

Loops, Toeplitz Operators and Representations

Presenter
  • Richard Melrose
October 14, 2019
SLMath
Choiceless Polynomial Time Thumbnail

Choiceless Polynomial Time

Presenter
  • Ben Rossman
October 14, 2019
IAS
Finding structure in high dimensional data, methods and fundamental limitations Thumbnail

Finding structure in high dimensional data, methods and fundamental limitations

Presenter
  • Boaz Nadler
October 14, 2019
IAS
Inscribing Rectangles in Jordan Loops Thumbnail

Inscribing Rectangles in Jordan Loops

Presenter
  • Rich Schwartz
October 14, 2019
IAS
On the (in)stability of the identity map in optimal transportation Thumbnail

On the (in)stability of the identity map in optimal transportation

Presenter
  • Yash Jhaveri
October 14, 2019
IAS
On a universal limit conjecture for the nodal count statistics of quantum graphs Thumbnail

On a universal limit conjecture for the nodal count statistics of quantum graphs

Presenter
  • Lior Alon
October 11, 2019
IAS
Extremal cases of Rapoport-Zink spaces Thumbnail

Extremal cases of Rapoport-Zink spaces

Presenter
  • Michael Rapoport
October 10, 2019
IAS
Asymptotic spectra and Applications I Thumbnail

Asymptotic spectra and Applications I

Presenter
  • Jeroen Zuiddam
October 8, 2019
IAS
Unsupervised Ensemble Learning Thumbnail

Unsupervised Ensemble Learning

Presenter
  • Boaz Nadler
October 8, 2019
IAS

Math + Art Panel

Presenters
  • Masha Ryskin
  • Richard Schwartz
  • David Dumas
  • Allison Paschke
  • Serge Marchetta
  • Werner Sun
October 7, 2019
ICERM