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Nicolas Hörmann - Bias In, Physics Out: Ab-Initio Insights into Electrified Interfaces
Presenter
- Nicolas Hörmann
September 18, 2025
IPAM
Paul Voyles - Data-Information-Knowledge: Material Microscopy Problems w/ Computational Solutions?
Presenter
- Paul Voyles
September 14, 2022
IPAM
New deep neural networks solving non-linear inverse problems
Presenter
- Matti Lassas
April 20, 2020
IPAM
Shape Analysis and Learning by Geometry and Machine (Overview - Part 2)
Presenter
- Ron Kimmel
February 8, 2016
IPAM
Shape Analysis and Learning by Geometry and Machine (Overview - Part 1)
Presenter
- Hong-Kai Zhao
February 8, 2016
IPAM
Covariant neural network architectures for learning physics
Presenter
- Risi Kondor
November 18, 2019
IPAM
Adam Wagner - Finding counterexamples to conjectures via reinforcement learning - IPAM at UCLA
Presenter
- Adam Wagner
February 14, 2023
IPAM
Can we design deep learning models that are inherently interpretable?
Presenter
- Cynthia Rudin
April 11, 2021
ICERM
Pascal Fontaine - SMT: quantifiers, and future prospects - IPAM at UCLA
Presenter
- Pascal Fontaine
February 16, 2023
IPAM