Start date cannot be after end date.
Architectural Nuances and Benchmark Gaps in Scientific ML: Two Vignettes
Presenter
- Andrej Risteski
June 11, 2025
IMSI
Tingwei Meng - Bayesian sampler for inverse problems of a stochastic process by leveraging HJ PDEs
Presenter
- Tingwei Meng
July 17, 2025
IPAM
Toward predictive digital twins: From physics-based modeling to scientific machine learning
Presenter
- Karen Willcox
October 8, 2020
IMSI
Fuqun Han - Regularized Wasserstein Proximal Algorithms for Nonsmooth Sampling Problems
Presenter
- Fuqun Han
July 23, 2025
IPAM
Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification
Presenter
- Benjamin Zhang
July 15, 2025
IPAM
Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA
Presenter
- Lars Ruthotto
July 14, 2025
IPAM
Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA
Presenter
- Zecheng Zhang
July 16, 2025
IPAM
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
Presenter
- Anuj Karpatne
November 9, 2018
IPAM
Quasi Real-Time Simulations with Neural Networks for Industrial Applications
Presenter
- Yu-Chin Chan
March 23, 2024
ICERM
Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy
Presenter
- Maxim Ziatdinov
January 27, 2023
IPAM
Memorization and Regularization in Generative Diffusion Models
Presenter
- Ricardo Baptista
March 4, 2026
ICERM
Memorization and Regularization in Generative Diffusion Models
Presenter
- Ricardo Baptista
June 9, 2025
IMSI