Videos

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Clarke Duality and Pseudoholomorphic Planes Thumbnail

Clarke Duality and Pseudoholomorphic Planes

Presenter
  • Oliver Edtmair
December 11, 2023
IAS
The Subleading Asymptotics of Symplectic Weyl Laws Thumbnail

The Subleading Asymptotics of Symplectic Weyl Laws

Presenter
  • Oliver Edtmair
November 3, 2023
IAS
3D convex contact forms and the Ruelle invariant Thumbnail

3D convex contact forms and the Ruelle invariant

Presenter
  • Oliver Edtmair
January 29, 2021
IAS
Symplectic Capacities of Domains Close to the Ball and Banach-Mazur Geodesics in the Space of Contact Forms Thumbnail

Symplectic Capacities of Domains Close to the Ball and Banach-Mazur Geodesics in the Space of Contact Forms

Presenter
  • Alberto Abbondandolo
February 16, 2024
IAS
Symplectic Capacities of Domains Close to a Ball and Geodesics in the Space of Contact Forms Thumbnail

Symplectic Capacities of Domains Close to a Ball and Geodesics in the Space of Contact Forms

Presenter
  • Alberto Abbondandolo
November 13, 2023
IAS
A Definition of Spectral Gap for Nonreversible Markov Chains Thumbnail

A Definition of Spectral Gap for Nonreversible Markov Chains

Presenter
  • Sourav Chatterjee
November 13, 2023
IAS
The Ruelle invariant and convexity in higher dimensions Thumbnail

The Ruelle invariant and convexity in higher dimensions

Presenter
  • Julian Chaidez
June 24, 2022
IAS
Legendrian ECH Thumbnail

Legendrian ECH

Presenter
  • Julian Chaidez
January 31, 2022
IAS
Tits's Dream: Buildings Over F1 and Combinatorial Flag Varieties Thumbnail

Tits's Dream: Buildings Over F1 and Combinatorial Flag Varieties

Presenter
  • Oliver Lorscheid
December 9, 2024
IAS
Foundations of Matroids Thumbnail

Foundations of Matroids

Presenter
  • Oliver Lorscheid
November 14, 2024
IAS
The Moduli Space of Matroids Thumbnail

The Moduli Space of Matroids

Presenter
  • Oliver Lorscheid
November 13, 2024
IAS
Oliver Eberle - Interpretability for Deep Learning: Theory, Applications and Scientific Insights Thumbnail

Oliver Eberle - Interpretability for Deep Learning: Theory, Applications and Scientific Insights

Presenter
  • Oliver Eberle
October 17, 2024
IPAM