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Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA
Presenter
- Michele Ceriotti
May 3, 2023
IPAM
Using Trained Machine Learning Predictors in Gurobi
Presenter
- Tobias Achterberg
April 27, 2023
ICERM
Root Number Correlation Bias of Fourier Coefficients of Modular Forms
Presenter
- Nina Zubrilina
April 20, 2023
IAS
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
Presenter
- Boris Kozinsky
April 17, 2023
IPAM
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
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
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
Presenter
- Timo Berthold
March 1, 2023
IPAM
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
Presenter
- Bobak Toussi Kiani
February 22, 2023
IPAM