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Amanda Howard - Multifidelity, domain decomposition, stacking for training physics-informed networks
Presenter
- Amanda Howard
March 23, 2026
IPAM
Almost nearly perfect Bayesian inversion with physics-informed deep generative models: Applications to computational imaging
Presenter
- Marcelo Pereyra
March 2, 2026
ICERM
The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm
Presenter
- Robert Gower
February 6, 2026
ICERM
Damian Rouson - Cloud microphysics via progressive refinement mimicking maximal info entropy
Presenter
- Damian Rouson
February 3, 2026
IPAM
Data Driven Modeling for Scientific Discovery and Digital Twins
Presenter
- Dongbin Xiu
October 27, 2025
IMSI
Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA
Presenter
- Zecheng Zhang
July 16, 2025
IPAM
Machine learning in gravitational-wave population inference
Presenter
- Matthew Mould
June 5, 2025
ICERM
Detection, Estimation, and Reconstruction in Networks: Attributed Stochastic Block Models as Benchmark Datasets for Theoretical Analysis of Graph Neural Networks
Presenter
- Lenka Zdeborova
April 22, 2025
SLMath
Emergence of Stable and Robust Rhythmic Locomotion Patterns in Insect Central Pattern Generators
Presenter
- Zahra Aminzare
March 20, 2025
IMSI