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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
June 9, 2025
IMSI
Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition
Presenter
- Yiping Lu
June 13, 2025
IMSI
Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition
Presenter
- Yiping Lu
May 22, 2025
IMSI
Markos Katsoulakis - Hamilton-Jacobi Equations, Mean-Field Games, and Optimal Control for Robust ML
Presenter
- Markos Katsoulakis
July 17, 2025
IPAM
Component-based Reduced Order Modeling for Digital Twins of Large Scale Industrial Assets
Presenter
- David Knezevic
February 4, 2025
IMSI
Rafael Gomez Bombarelli - End-to-end learning and auto-differentiation: forces, uncertainties, etc.
Presenter
- Rafael Gomez-Bombarelli
January 24, 2023
IPAM
Levon Nurbekyan - System Identification via Invariant Measures - IPAM at UCLA
Presenter
- Levon Nurbekyan
July 18, 2025
IPAM
Nisha Chandramoorthy - Toward physical generative modeling - IPAM at UCLA
Presenter
- Nisha Chandramoorthy
July 16, 2025
IPAM