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Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty
Presenter
- Paris Perdikaris
September 28, 2018
IPAM
Learning to Predict using Network of Spiking Neurons
Presenter
- Biswadeep Chakraborty
June 8, 2023
ICERM
Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport
Presenter
- Stanley Osher
July 14, 2025
IPAM
Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA
Presenter
- Timo Berthold
March 1, 2023
IPAM
David Bortz - Weak form SciML for Learning Models on Different Scales - IPAM at UCLA
Presenter
- David Bortz
October 7, 2025
IPAM
Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis
Presenter
- Mary Scott
December 1, 2022
IPAM
Nonstandard minimax rates in nonparametric latent variable models and representation learning
Presenter
- Bryon Aragam
December 11, 2023
IMSI
Supervised Learning and Canonical Decomposition of Multivariate Functions (Joint work with Nikos Kargas)
Presenter
- Nikos Sidiropoulos
May 5, 2021
IPAM
Variational approximation of dynamical systems using machine learning
Presenter
- Frank Noé
February 11, 2019
IPAM