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Jaime Marian - Atomic-level fluctuations in crystal plasticity: diffusive and mechanical scales
Presenter
- Jaime Marian
April 20, 2023
IPAM
James Kermode - Multiscale and data-driven methods for the simulation of material failure
Presenter
- James Kermode
April 19, 2023
IPAM
Maria Emelianenko - Integrating multiscale materials modeling w/ interpretable automation techniques
Presenter
- Maria Emelianenko
April 18, 2023
IPAM
Robert Lipton - Fracture as an emergent phenomenon - IPAM at UCLA
Presenter
- Robert Lipton
April 18, 2023
IPAM
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks
Presenter
- Gabor Csányi
April 17, 2023
IPAM
Xiantao Li - A stochastic algorithm for self-consistent calculations in DFT - IPAM at UCLA
Presenter
- Xiantao Li
April 17, 2023
IPAM
Mitchell Luskin - Computing at the Moiré Scale - IPAM at UCLA
Presenter
- Mitchell Luskin
April 17, 2023
IPAM
Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA
Presenter
- Adityanarayanan Radhakrishnan
October 18, 2024
IPAM
Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning
Presenter
- Leena Vankadara
October 18, 2024
IPAM
Oliver Eberle - Interpretability for Deep Learning: Theory, Applications and Scientific Insights
Presenter
- Oliver Eberle
October 17, 2024
IPAM
Mayank Mehta - Dynamics of brain's deep network - IPAM at UCLA
Presenter
- Mayank Mehta
October 17, 2024
IPAM
Mauro Maggioni - On exploiting compositional structure: one bit of theory and one application
Presenter
- Mauro Maggioni
October 17, 2024
IPAM