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A Sheaf Theoretic Modeling and Composition Framework for Complex Systems of Systems: Application to the Traffic Collision Avoidance
Presenter
- Alberto Speranzon
February 3, 2017
IMA
Joshua Schrier - Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA
Presenter
- Joshua Schrier
May 2, 2023
IPAM
Machine Learning for discrete optimization: Graph Neural Networks, generalization under shifts, and loss functions
Presenter
- Stefanie Jegelka
April 26, 2023
ICERM
Using Trained Machine Learning Predictors in Gurobi
Presenter
- Tobias Achterberg
April 27, 2023
ICERM
A Machine Learning Application in Multi-Messenger Astrophysics
Presenter
- Irene Di Palma
October 7, 2021
IPAM
Introduction to Machine Learning for Gravitational Wave Astronomy (Part 2/2): Variational models and Dictionary learning
Presenter
- Antonio Marquina
September 21, 2021
IPAM
Introduction to Machine Learning for Gravitational Wave Astronomy (Part 1/2): General concepts and terminology
Presenter
- Antonio Marquina
September 15, 2021
IPAM
From Dynamics to Algorithms for Optimization and Sampling
Presenter
- Andre Wibisono
June 24, 2024
ICERM
Understanding Neural Network Expressivity via Polyhedral Geometry
Presenter
- Christoph Hertrich
April 26, 2023
ICERM
Machine learning for actionable, interpretable marker selection in -omics studies
Presenter
- Bianca Dumitrascu
September 3, 2021
IMSI
Computational Statistics Meets Materials Science: Advances in UQ, OED, and SciML
Presenter
- Anh Tran
April 22, 2025
IMSI
Machine Learning in Materials Science: Recent Progress and Critical Next Steps
Presenter
- Rampi Ramprasad
September 26, 2016
IPAM