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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
Bolei Zhou - From Network Dissection to Policy Dissection: Emergent Concepts in Deep Representations
Presenter
- Bolei Zhou
January 9, 2023
IPAM
Xiao Fu - Multiview and Self-Supervised Representation Learning: Nonlinear Mixture Identification
Presenter
- Xiao Fu
January 9, 2023
IPAM
Jaesik Choi - Explainable AI to Analyze Internal Decision Mechanism of Deep Neural Networks
Presenter
- Jaesik Choi
January 9, 2023
IPAM
Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA
Presenter
- Bin Yu
January 9, 2023
IPAM