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Benjamin Stamm - Acceleration of quantum mechanical systems by exploiting similarity
Presenter
- Benjamin Stamm
May 5, 2022
IPAM
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Presenter
- Andrew Christlieb
March 13, 2026
IPAM
Maria Molina - Learning Without Labels: New Insights into Climate and Extremes - IPAM at UCLA
Presenter
- Maria Molina
February 4, 2026
IPAM
Huan Lei - Energy-stable machine-learning model of non-Newtonian hydrodynamics w/ molecular fidelity
Presenter
- Huan Lei
October 8, 2025
IPAM
Mauro Maggioni - Learning Interaction Kernels in Interacting Particle Systems - IPAM at UCLA
Presenter
- Mauro Maggioni
September 8, 2025
IPAM
Rongjie Lai - Unsupervised In-context Operator Learning for Mean Field Games - IPAM at UCLA
Presenter
- Rongjie Lai
July 15, 2025
IPAM
Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport
Presenter
- Stanley Osher
July 14, 2025
IPAM
Cesar Uribe - Decentralized Optimal Transport and Barycenters: Algorithms, Quantization, and Equity
Presenter
- Cesar Uribe
May 19, 2025
IPAM
Mauro Maggioni - On exploiting compositional structure: one bit of theory and one application
Presenter
- Mauro Maggioni
October 17, 2024
IPAM
Vidya Muthukumar - Comparison and transfer between tasks in overparameterized learning
Presenter
- Vidya Muthukumar
October 15, 2024
IPAM
Hugo Duminil-Copin - Critical phenomena through the lens of the Ising model - Green Family Lecture
Presenter
- Hugo Duminil-Copin
May 21, 2024
IPAM