Videos

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Gap Junctions in the Postnatal Cerebral Cortex

Presenter
  • Amanda Hampton
August 9, 2016
MBI
Learning Body Shape in Motion Thumbnail

Learning Body Shape in Motion

Presenter
  • Michael Black
February 10, 2016
IPAM

Utilizing Numerical Optimization to Improve the Utility of Data-Based Forecasting Models

Presenter
  • Genetha Gray
October 13, 2017
IMA
No Equations, No Variables, No Parameters - An Equal Space for Complex Data and some thoughts on Gauge Invariance Thumbnail

No Equations, No Variables, No Parameters - An Equal Space for Complex Data and some thoughts on Gauge Invariance

Presenter
  • Yannis Kevrekidis
October 4, 2017
IPAM
Probabilistic Models for Images: Markov Random Fields and basic sampling. Applications to image segmentation and texture modeling Thumbnail

Probabilistic Models for Images: Markov Random Fields and basic sampling. Applications to image segmentation and texture modeling

July 22, 2013
IPAM
Interpretability: of what, for whom, why, and how? Thumbnail

Interpretability: of what, for whom, why, and how?

Presenter
  • Zachary Lipton
October 17, 2019
IPAM
Digital Twins for Wind Energy and Leading Edge Erosion Detection Thumbnail

Digital Twins for Wind Energy and Leading Edge Erosion Detection

Presenter
  • Sue Minkoff
February 25, 2025
IMSI
Scalable methods for analyzing 3D/4D/5D Images of Complex and Dynamic Biological Microenvironments Thumbnail

Scalable methods for analyzing 3D/4D/5D Images of Complex and Dynamic Biological Microenvironments

Presenter
  • Badri Roysam
November 14, 2011
IMA
Finding patterns and drawing maps in the configuration space of materials and molecules Thumbnail

Finding patterns and drawing maps in the configuration space of materials and molecules

Presenter
  • Michele Ceriotti
February 23, 2015
IPAM

A Rank-Minimization Approach to Learning Dynamical Systems from Frequency Response Data

Presenter
  • Pawan Goyal
February 20, 2020
ICERM

Data-driven modelling to solve intractable physics

Presenter
  • Richard Ahfeld
March 23, 2024
ICERM
Using machine learning to map the structure and predict the properties of materials and molecules Thumbnail

Using machine learning to map the structure and predict the properties of materials and molecules

Presenter
  • Michele Ceriotti
September 27, 2016
IPAM