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Siting Liu - Score-Based Generative Models through the Lens of Wasserstein Proximal Operators
Presenter
- Siting Liu
July 15, 2025
IPAM
Alex Cloninger - Linearized Optimal Transport to Predict Evolution of Stochastic Particle Systems
Presenter
- Alex Cloninger
July 15, 2025
IPAM
Wenjing Liao - Exploiting Low-Dimensional Data Structures and Understanding Neural Scaling Laws of Transformers
Presenter
- Wenjing Liao
July 14, 2025
IPAM
Scott McCalla - Tracking bacterial growth using a nonlocal interfacial model - IPAM at UCLA
Presenter
- Scott McCalla
July 14, 2025
IPAM
MWrite: Implementing Writing-to-Learn in large-enrollment introductory courses across disciplines and exploring how it fosters student learning
Presenter
- Amber Dood
January 12, 2024
IMSI
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty
Presenter
- Paris Perdikaris
September 28, 2018
IPAM
Nonstandard minimax rates in nonparametric latent variable models and representation learning
Presenter
- Bryon Aragam
December 11, 2023
IMSI
Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis
Presenter
- Mary Scott
December 1, 2022
IPAM
Methodological Aspects of Predictive Data Analytics and VC-theory
Presenter
- Vladimir Cherkassky
February 2, 2016
IMA
Generating Representative Point Samples from Probability Distributions
Presenter
- Nathan Kirk
March 31, 2025
IMSI