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Machine Learning: Dynamical, Economic and Stochastic Perspectives
Presenter
- Michael Jordan
January 23, 2019
MBI
Bayesian nonparametrics and g-computation for causal inference in observational studies
Presenter
- Jason Roy
January 15, 2019
ICERM
Machine learning, fibre bundles and biological morphology
Presenter
- Tingran Gao
February 11, 2016
IPAM
Machine learning, fibre bundles and biological morphology: Introduction
Presenter
- Ingrid Daubechies
February 11, 2016
IPAM
Using machine learning as an alternative to phylogenetic bootstrap and for quantifying MSAs
Presenter
- Tal Pupko
August 12, 2025
IMSI
Toward Online Deployment of Neural-Networks to Search and Characterize Compact Binary Mergers
Presenter
- Deep Chatterjee
June 6, 2025
ICERM
An overview of gravitational wave surrogate modelling
Presenter
- Carl-Johan Haster
June 3, 2025
ICERM
MaLT: Machine-Learning-Guided Test Case Design and Fault Localization of Complex Software Systems
Presenter
- Irene Ji
May 21, 2025
IMSI
AIMNet2 family of machine learning potentials: general-purpose and task-specific models for element-organic molecules and radicals, reactions and molecular crystals
Presenter
- Roman Zubatyuk
April 12, 2024
IMSI
Physical constraints in machine learning models of electronic and atomic interactions
Presenter
- Boris Kozinsky
March 26, 2024
IMSI
Perspectives and Practice for Scientific Machine Learning in Process Systems: Dynamic Surrogacy and Causal Discovery
Presenter
- Jordan Jalving
March 24, 2024
ICERM
A Method for Computing Inverse Parametric PDE Problems with Randomized Neural Networks
Presenter
- Suchuan Dong
June 9, 2023
ICERM