Videos

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Chasing the Long Tail: What Neural Networks Memorize and Why Thumbnail

Chasing the Long Tail: What Neural Networks Memorize and Why

Presenter
  • Vitaly Feldman
April 14, 2021
IMSI

Reliable predictions? Counterfactual predictions? Equitable treatment? Some recent progress in predictive inference

Presenter
  • Emmanuel Candes
April 11, 2021
ICERM
Metric and manifold repair for missing data Thumbnail

Metric and manifold repair for missing data

Presenter
  • Anna Gilbert
September 11, 2020
IAS
Machine learning-based design (of proteins, small molecules and beyond) Thumbnail

Machine learning-based design (of proteins, small molecules and beyond)

Presenter
  • Jennifer Listgarten
July 7, 2020
IAS
Machine learning based multi-scale modeling Thumbnail

Machine learning based multi-scale modeling

Presenter
  • Weinan E
October 15, 2019
IPAM
Deep Learning: Triangle Machine Learning Day - What You Didn’t Learn About Machine Learning in School, Wayne Thompson Thumbnail

Deep Learning: Triangle Machine Learning Day - What You Didn’t Learn About Machine Learning in School, Wayne Thompson

September 20, 2019
SAMSI
Deep Learning: Triangle Machine Learning Day - Data-driven Decision Making in Healthcare Operations, Nilay Tanik Argon Thumbnail

Deep Learning: Triangle Machine Learning Day - Data-driven Decision Making in Healthcare Operations, Nilay Tanik Argon

September 20, 2019
SAMSI
Deep Learning: Triangle Machine Learning Day - Biomedical Image Understanding and EHRs at LifeOmic: Harnessing the Power of the Cloud, Matthew Phillips Thumbnail

Deep Learning: Triangle Machine Learning Day - Biomedical Image Understanding and EHRs at LifeOmic: Harnessing the Power of the Cloud, Matthew Phillips

September 20, 2019
SAMSI
Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin Thumbnail

Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin

August 28, 2019
SAMSI

Learned Visual Sensors and Probabilistic Measurements

Presenter
  • Ayan Chakrabarti
March 19, 2019
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

NextGen Tools for searches, analyses and detector characterization in LIGO

Presenter
  • Sidd Soni
June 6, 2025
ICERM