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Roman Grigoriev - Bridging scales using physically-informed machine learning - IPAM at UCLA
Presenter
- Roman Grigoriev
October 10, 2025
IPAM
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA
Presenter
- Wei Zhu
July 18, 2025
IPAM
Haomin Zhou - A supervised learning scheme for Hamilton-Jacobi equation via density coupling
Presenter
- Haomin Zhou
July 15, 2025
IPAM
Wenjing Liao - Exploiting Low-Dimensional Data Structures and Understanding Neural Scaling Laws of Transformers
Presenter
- Wenjing Liao
July 14, 2025
IPAM
Vidya Muthukumar - Comparison and transfer between tasks in overparameterized learning
Presenter
- Vidya Muthukumar
October 15, 2024
IPAM
Benjamin Schweinhart - The Plaquette Random Cluster Model and Potts Lattice Gauge Theory
Presenter
- Benjamin Schweinhart
May 7, 2024
IPAM
Advances in Lie Theory, Representation Theory, and Combinatorics: Inspired by the work of Georgia M. Benkart: "Gradings by root systems and S-structures on Lie algebras"
Presenter
- Alberto Elduque
May 1, 2024
SLMath
Maria Emelianenko - Integrating multiscale materials modeling w/ interpretable automation techniques
Presenter
- Maria Emelianenko
April 18, 2023
IPAM
Vince Calhoun - Maximizing Information in neuroimaging: approaches for analysis and visualization
Presenter
- Vince Calhoun
January 13, 2023
IPAM
Tim Salditt - Phase Retrieval & Tomographic Reconstruction in X-ray Near-field Diffractive Imaging
Presenter
- Tim Salditt
October 11, 2022
IPAM
Andrey Shilnikov - Reconstructed rhythm-generation by neural circuits in two sea slugs
Presenter
- Andrey Shilnikov
August 31, 2022
IPAM
Santosh Vempala - Gibbs Sampling for Convex Bodies and an L_0 Isoperimetric Inequality
Presenter
- Santosh Vempala
February 10, 2022
IPAM