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Klaus Robert Muller - AI for the Sciences: Recent Developments for XAI - IPAM at UCLA
Presenter
- Klaus Muller
January 9, 2023
IPAM
Gregoire Montavon - Towards Higher-Order and Disentangled Explainable AI - IPAM at UCLA
Presenter
- Gregoire Montavon
January 11, 2023
IPAM
Jaesik Choi - Explainable AI to Analyze Internal Decision Mechanism of Deep Neural Networks
Presenter
- Jaesik Choi
January 9, 2023
IPAM
Wojciech Samek - Concept-Level Explainable AI - IPAM at UCLA
Presenter
- Wojciech Samek
January 10, 2023
IPAM
Pamela Douglas - Exploring XAI Techniques for Neuroimaging - IPAM at UCLA
Presenter
- Pamela Douglas
January 13, 2023
IPAM
Frederick Klauschen - AI in cancer research and diagnostics - IPAM at UCLA
Presenter
- Frederick Klauschen
January 10, 2023
IPAM
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA
Presenter
- Michele Ceriotti
January 11, 2023
IPAM
André Freitas - Building explanation machines for science: a neuro-symbolic perspective
Presenter
- André Freitas
January 12, 2023
IPAM
Petros Koumoutsakos - Alloys: Artificial Intelligence and Scientific Computing for Fluid Mechanics
Presenter
- Petros Koumoutsakos
January 11, 2023
IPAM
Vince Calhoun - Maximizing Information in neuroimaging: approaches for analysis and visualization
Presenter
- Vince Calhoun
January 13, 2023
IPAM
Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA
Presenter
- Bin Yu
January 9, 2023
IPAM
Oliver Eberle - Explainable structured machine learning in similarity, graph and transformer models
Presenter
- Oliver Eberle
January 12, 2023
IPAM