Videos

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A mathematical approach to some problems in neurobiology Thumbnail

A mathematical approach to some problems in neurobiology

Presenter
  • Lai-Sang Young
January 31, 2022
IAS
Line-of-sight optimization for moving agents in complex urban domains Thumbnail

Line-of-sight optimization for moving agents in complex urban domains

Presenter
  • Richard Tsai
October 7, 2020
IPAM
Learning with Few Labeled Data Thumbnail

Learning with Few Labeled Data

Presenter
  • Pratik Chaudhari
October 6, 2020
IPAM
A Multisensory Driven Adaptation to Improve Driver's Comfort Thumbnail

A Multisensory Driven Adaptation to Improve Driver's Comfort

Presenter
  • Ruzena Bajcsy
February 25, 2019
IPAM

Patient-specific computational modeling of cortical spreading depression via diffusion tensor imaging

Presenter
  • Luca Gerardo Giorda
February 14, 2018
IMA

Allen Brain Observatory: 2P Calcium Imaging Inference

Presenter
  • Kyle Lepage
October 18, 2016
MBI
Quasi-isometry and commensurability classification of certain right-angled Coxeter groups Thumbnail

Quasi-isometry and commensurability classification of certain right-angled Coxeter groups

Presenter
  • Anne Thomas
September 30, 2016
SLMath
Wearable cameras, for fun and science Thumbnail

Wearable cameras, for fun and science

Presenter
  • David Crandall
March 23, 2016
IPAM
The Digital Workshops of the World: Visualising the Global VFX Industry Thumbnail

The Digital Workshops of the World: Visualising the Global VFX Industry

Presenter
  • Leon Gurevitch
March 23, 2016
IPAM
Data Mining beyond Text in the Vogue Archive Thumbnail

Data Mining beyond Text in the Vogue Archive

Presenter
  • Lindsay King
March 21, 2016
IPAM
A Spectral Perspective on Shapes Thumbnail

A Spectral Perspective on Shapes

Presenter
  • Ron Kimmel
February 9, 2016
IPAM
The Inevitability of Probability: Near-Optimal Probabilistic Inference in Generic Neural Networks Trained with Non-Probabilistic Feedback - Wei Ji Ma New York University Thumbnail

The Inevitability of Probability: Near-Optimal Probabilistic Inference in Generic Neural Networks Trained with Non-Probabilistic Feedback - Wei Ji Ma New York University

August 19, 2015
SAMSI