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Adam Wagner - Finding counterexamples to conjectures via reinforcement learning - IPAM at UCLA
Presenter
- Adam Wagner
February 14, 2023
IPAM
Tess Smidt - Learning how to break symmetry with symmetry-preserving neural networks - IPAM at UCLA
Presenter
- Tess Smidt
January 26, 2023
IPAM
Rafael Gomez Bombarelli - End-to-end learning and auto-differentiation: forces, uncertainties, etc.
Presenter
- Rafael Gomez-Bombarelli
January 24, 2023
IPAM
Tommi Jaakola - Diffusion based distributional modeling of conformers, blind docking and proteins
Presenter
- Tommi Jaakola
January 24, 2023
IPAM
Vince Calhoun - Maximizing Information in neuroimaging: approaches for analysis and visualization
Presenter
- Vince Calhoun
January 13, 2023
IPAM
Wojciech Samek - Concept-Level Explainable AI - IPAM at UCLA
Presenter
- Wojciech Samek
January 10, 2023
IPAM
Jaesik Choi - Explainable AI to Analyze Internal Decision Mechanism of Deep Neural Networks
Presenter
- Jaesik Choi
January 9, 2023
IPAM
Piotr Indyk - Learning-Based Low-Rank Approximations - IPAM at UCLA
Presenter
- Piotr Indyk
November 29, 2022
IPAM
Pilar Cossio - Structural-ensemble probability refinement using Cryo-EM particles - IPAM at UCLA
Presenter
- Pilar Cossio
November 17, 2022
IPAM
Sonya Hanson - Pose estimation, temperature, noise, and biological temperature sensors via cryo-EM
Presenter
- Sonya Hanson
November 17, 2022
IPAM
Yonina Eldar - Model Based Deep Learning with Application to Super Resolution - IPAM at UCLA
Presenter
- Yonina Eldar
October 27, 2022
IPAM
Yongsoo Yang - Neural network-assisted atomic electron tomography - IPAM at UCLA
Presenter
- Yongsoo Yang
October 26, 2022
IPAM