Videos

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Deep Learning Opening Workshop: A Survey of Statistical Research in Neural Networks and Deep Learning, Xiaoming Huo Thumbnail

Deep Learning Opening Workshop: A Survey of Statistical Research in Neural Networks and Deep Learning, Xiaoming Huo

August 12, 2019
SAMSI
Deep Learning Opening Workshop: Horseshoe Regularization for Machine Learning in Complex and Deep Models, Anindya Bhadra Thumbnail

Deep Learning Opening Workshop: Horseshoe Regularization for Machine Learning in Complex and Deep Models, Anindya Bhadra

August 12, 2019
SAMSI
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty Thumbnail

Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty

Presenter
  • Paris Perdikaris
September 28, 2018
IPAM
Sparse Modeling in Image Processing and Deep Learning Thumbnail

Sparse Modeling in Image Processing and Deep Learning

Presenter
  • Michael Elad
February 6, 2018
IPAM
High-throughput experimentation and machine learning for materials discovery Thumbnail

High-throughput experimentation and machine learning for materials discovery

Presenter
  • Ichiro Takeuchi
October 4, 2017
IPAM
When Attention Meets Big Data and Deep Learning Thumbnail

When Attention Meets Big Data and Deep Learning

Presenter
  • Catherine Zhao
February 3, 2017
IMA
Collective Variables in Quantum Mechanics and Machine Learning Thumbnail

Collective Variables in Quantum Mechanics and Machine Learning

Presenter
  • Alexandre Tkatchenko
November 14, 2016
IPAM
Tutorial - Algorithms for Sparse Optimization and Machine Learning Thumbnail

Tutorial - Algorithms for Sparse Optimization and Machine Learning

Presenter
  • Stephen Wright
March 27, 2012
IMA
Data-efficient kernel methods for learning differential equations and their solution operators Thumbnail

Data-efficient kernel methods for learning differential equations and their solution operators

Presenter
  • Bamdad Hosseini
October 8, 2025
IMSI
Advances in Probabilistic Generative Modeling for Scientific Machine Learning Thumbnail

Advances in Probabilistic Generative Modeling for Scientific Machine Learning

Presenter
  • Fei Sha
June 11, 2025
IMSI

Recent developments in nonlinear random matrices

Presenter
  • Yizhe Zhu
May 22, 2024
ICERM
Graph-based Bayesian Semi-supervised Learning: Prior Design and Posterior Contraction Thumbnail

Graph-based Bayesian Semi-supervised Learning: Prior Design and Posterior Contraction

Presenter
  • Daniel Sanz-Alonso
May 12, 2021
IMSI