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Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation
Presenter
- Peter Frazier
October 16, 2019
IPAM
Coordinates, governing equations and limits of model discovery
Presenter
- J. Nathan Kutz
October 16, 2019
IPAM
Universal Probabilistic Programming in Simulators
Presenter
- Atilim Gunes Baydin
October 15, 2019
IPAM
Molecular design blueprints: materials and catalysts from new simulation and machine learning tools
Presenter
- Heather Kulik
October 15, 2019
IPAM
Maximum Entropy Methods for Combining Physics-Based Simulation with Empirical Data
Presenter
- Andrew White
October 15, 2019
IPAM
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications
Presenter
- Julia Ling
October 14, 2019
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
Learning molecular model from simulation and experimental data
Presenter
- Cecilia Clementi
October 14, 2019
IPAM
Solving Quantum Many-Body Problems with Deep Neural Networks
Presenter
- Han Pu
September 27, 2019
IPAM