Videos

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Gabor Csányi - Machine learning potentials: from polynomials to message passing networks Thumbnail

Gabor Csányi - Machine learning potentials: from polynomials to message passing networks

Presenter
  • Gabor Csányi
April 17, 2023
IPAM
Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions Thumbnail

Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions

Presenter
  • Boris Kozinsky
April 17, 2023
IPAM
Decision-Aware Learning for Global Health Supply Chains Thumbnail

Decision-Aware Learning for Global Health Supply Chains

Presenter
  • Hamsa Bastani
April 3, 2023
IMSI
Tutorial on Conformal Prediction and Distribution-Free Uncertainty Quantification Thumbnail

Tutorial on Conformal Prediction and Distribution-Free Uncertainty Quantification

Presenter
  • Anastasios Angelopoulos
March 31, 2023
IMSI
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA Thumbnail

Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA

Presenter
  • Pascal Van Hentenryck
March 1, 2023
IPAM
Louis Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery Thumbnail

Louis Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery

Presenter
  • Louis-Martin Rousseau
March 1, 2023
IPAM
Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA Thumbnail

Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA

Presenter
  • Timo Berthold
March 1, 2023
IPAM
Bistra Dilkina - Machine Learning for MIP Solving - IPAM at UCLA Thumbnail

Bistra Dilkina - Machine Learning for MIP Solving - IPAM at UCLA

Presenter
  • Bistra Dilkina
February 27, 2023
IPAM
Bobak Toussi Kiani - Quantum Machine Learning - IPAM at UCLA Thumbnail

Bobak Toussi Kiani - Quantum Machine Learning - IPAM at UCLA

Presenter
  • Bobak Toussi Kiani
February 22, 2023
IPAM
Jutta Rogal - Machine learning collective variables for sampling of structural transformations Thumbnail

Jutta Rogal - Machine learning collective variables for sampling of structural transformations

Presenter
  • Jutta Rogal
January 26, 2023
IPAM
Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms Thumbnail

Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms

Presenter
  • Stefan Chmiela
January 25, 2023
IPAM
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics Thumbnail

Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics

Presenter
  • Steve Brunton
January 24, 2023
IPAM