Videos

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How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification Thumbnail

How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification

Presenter
  • Matthias Rupp
November 21, 2019
IPAM
Practical Tutorial on Machine Learning for Electronic Structure Calculations Thumbnail

Practical Tutorial on Machine Learning for Electronic Structure Calculations

Presenter
  • Matthias Rupp
September 16, 2016
IPAM
Properties of Atoms in Molecules via Machine Learning Thumbnail

Properties of Atoms in Molecules via Machine Learning

Presenter
  • Matthias Rupp
February 25, 2015
IPAM
Finding density functionals with machine learning Thumbnail

Finding density functionals with machine learning

Presenter
  • Kieron Burke
February 23, 2015
IPAM
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models Thumbnail

Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models

Presenter
  • Chris Sutton
November 21, 2019
IPAM
C0 Stability of Topological Entropy for 3-Dimensional Reeb Flows Thumbnail

C0 Stability of Topological Entropy for 3-Dimensional Reeb Flows

Presenter
  • Matthias Meiwes
November 24, 2023
IAS
Matthias Caro - Classical Verification of Quantum Learning - IPAM at UCLA Thumbnail

Matthias Caro - Classical Verification of Quantum Learning - IPAM at UCLA

Presenter
  • Matthias Caro
October 17, 2023
IPAM

Integrated Computational and Experimental Research in Mixed Integer Programming with SageMath

Presenter
  • Matthias Köppe
February 28, 2023
ICERM
Scalable Gaussian-Process Inference Using Vecchia Approximations Thumbnail

Scalable Gaussian-Process Inference Using Vecchia Approximations

Presenter
  • Matthias Katzfuss
August 30, 2022
IMSI
Asymptotics of Ranks of Tensors Thumbnail

Asymptotics of Ranks of Tensors

Presenter
  • Matthias Christandl
May 19, 2021
IPAM
Fault-tolerant Coding for Quantum Communication Thumbnail

Fault-tolerant Coding for Quantum Communication

Presenter
  • Matthias Christandl
February 10, 2021
IPAM

The Loewner Framework for Model Reduction of Flow Equations

Presenter
  • Matthias Heinkenschloss
February 18, 2020
ICERM