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Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Presenter
- Priya Donti
February 28, 2023
IPAM
Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Presenter
- Segev Wasserkug
February 28, 2023
IPAM
Jason Rute - Deep learning in interactive theorem proving - IPAM at UCLA
Presenter
- Jason Rute
February 16, 2023
IPAM
James Davenport - How to prove a calculation correct? - IPAM at UCLA
Presenter
- James Davenport
February 16, 2023
IPAM
Benedikt Ahrens - Univalent Foundations and the UniMath library - IPAM at UCLA
Presenter
- Benedikt Ahrens
February 13, 2023
IPAM
Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA
Presenter
- Geordie Williamson
February 13, 2023
IPAM
Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy
Presenter
- Maxim Ziatdinov
January 27, 2023
IPAM
Tess Smidt - Learning how to break symmetry with symmetry-preserving neural networks - IPAM at UCLA
Presenter
- Tess Smidt
January 26, 2023
IPAM
Rose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics - IPAM at UCLA
Presenter
- Rose Yu
January 26, 2023
IPAM
Alexandre Tkatchenko - Fully Quantum (Bio)Molecular Simulations: Dream or Reality? - IPAM at UCLA
Presenter
- Alexandre Tkatchenko
January 25, 2023
IPAM
Patrick Riley - Symbolic Regression for Discovery of a DFT Functional - IPAM at UCLA
Presenter
- Patrick Riley
January 23, 2023
IPAM
Mohammed AlQuraishi - OpenFold: Lessons and insights from rebuilding and retraining AlphaFold2
Presenter
- Mohammed AlQuraishi
January 23, 2023
IPAM