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André Freitas - Building explanation machines for science: a neuro-symbolic perspective
Presenter
- André Freitas
January 12, 2023
IPAM
Oliver Eberle - Explainable structured machine learning in similarity, graph and transformer models
Presenter
- Oliver Eberle
January 12, 2023
IPAM
Anders Søgaard - What's Opaque to Whom - and Why? - IPAM at UCLA
Presenter
- Anders Søgaard
January 12, 2023
IPAM
Evrim Acar - Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations
Presenter
- Evrim Acar
January 11, 2023
IPAM
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA
Presenter
- Michele Ceriotti
January 11, 2023
IPAM
Cecelia Clementi - Designing molecular models with machine learning and experimental data
Presenter
- Cecelia Clementi
January 11, 2023
IPAM
Petros Koumoutsakos - Alloys: Artificial Intelligence and Scientific Computing for Fluid Mechanics
Presenter
- Petros Koumoutsakos
January 11, 2023
IPAM
Gregoire Montavon - Towards Higher-Order and Disentangled Explainable AI - IPAM at UCLA
Presenter
- Gregoire Montavon
January 11, 2023
IPAM
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA
Presenter
- Osbert Bastani
January 10, 2023
IPAM
Wojciech Samek - Concept-Level Explainable AI - IPAM at UCLA
Presenter
- Wojciech Samek
January 10, 2023
IPAM
Frederick Klauschen - AI in cancer research and diagnostics - IPAM at UCLA
Presenter
- Frederick Klauschen
January 10, 2023
IPAM
Klaus Robert Muller - AI for the Sciences: Recent Developments for XAI - IPAM at UCLA
Presenter
- Klaus Muller
January 9, 2023
IPAM