Videos

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Studying Physician Work and Wellbeing using Machine Learning and Network Science Thumbnail

Studying Physician Work and Wellbeing using Machine Learning and Network Science

Presenter
  • Retsef Levi
May 17, 2023
IMSI
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning? Thumbnail

Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?

Presenter
  • Kyunghyun Cho
January 25, 2023
IPAM
Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning Thumbnail

Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning

Presenter
  • Mark Tuckerman
January 24, 2023
IPAM
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy Thumbnail

Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy

Presenter
  • Rama Vasudevan
November 29, 2022
IPAM
Quantum barren plateaus and a possible way out Thumbnail

Quantum barren plateaus and a possible way out

Presenter
  • Maria Kieferova
May 27, 2021
IMSI

Breaking into a Deep Learning box

Presenter
  • Ivan Tyukin
April 10, 2021
ICERM
Improving PDE solvers and PDE-constrained optimization with deep learning and differentiable programming Thumbnail

Improving PDE solvers and PDE-constrained optimization with deep learning and differentiable programming

Presenter
  • Stephan Hoyer
October 18, 2019
IPAM
Machine learning: from genetics to gene editing to protein optimization Thumbnail

Machine learning: from genetics to gene editing to protein optimization

Presenter
  • Jennifer Listgarten
November 8, 2018
IPAM
Introductory Workshop: Algorithms, Fairness, and Equity: "Geometry of Deep Learning and Explainable ML" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Geometry of Deep Learning and Explainable ML"

Presenter
  • Anders Karlsson
August 30, 2023
SLMath
Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning Thumbnail

Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning

Presenter
  • Sarah Haigh
November 30, 2022
IPAM

Robust and Scalable Learning of Gaussian Mixture Models

Presenter
  • Kisung You
December 17, 2021
ICERM
Deep Learning Opening Workshop: Solution Estimators in Stochastic Optimization, Amitabh Basu Thumbnail

Deep Learning Opening Workshop: Solution Estimators in Stochastic Optimization, Amitabh Basu

August 12, 2019
SAMSI