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Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications
Presenter
- Julia Ling
October 14, 2019
IPAM
Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach
Presenter
- Marco Cavaglia
February 1, 2019
IPAM
Nonlinear reduced-order modeling - Using machine learning to enable extreme-scale simulation for many-query problems
Presenter
- Kevin Carlberg
January 29, 2019
ICERM
Stochastic Surface Walking Method for Reaction Sampling and the Combination with Machine Learning
Presenter
- Zhi-Pan Liu
October 20, 2017
IPAM
Using machine learning to map the structure and predict the properties of materials and molecules
Presenter
- Michele Ceriotti
September 27, 2016
IPAM
Intelligent learning: similarity control and knowledge transfer
Presenter
- Vladimir Vapnik
March 30, 2015
IAS
High-throughput Data and New representations for Models and Machine Learning
Presenter
- Gus Hart
February 24, 2015
IPAM
Statistical Learning and Bayesian Inference and Topology
Presenter
- Sayan Mukherjee
October 2, 2013
IMA
Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo
Presenter
- Guang Lin
July 16, 2025
IPAM
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems
Presenter
- Xiaochuan Tian
May 15, 2024
IMSI