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Optimization-Ready Surrogates with Derivative-Informed Learning
Presenter
- Thomas O'Leary-Roseberry
April 13, 2026
ICERM
Bryan Reuter - Enhancing Particle-Based Kinetic Methods Through Multifidelity Discretizations
Presenter
- Bryan Reuter
March 23, 2026
IPAM
Almost nearly perfect Bayesian inversion with physics-informed deep generative models: Applications to computational imaging
Presenter
- Marcelo Pereyra
March 2, 2026
ICERM
Marcus van Lier Walqui - Clouds in weather and climate models: deterministic & stochastic approaches
Presenter
- Marcus van Lier-Walqui
February 3, 2026
IPAM
Exchangeable random permutations with an application to Bayesian graph matching
Presenter
- Francesco Gaffi
January 15, 2026
ICERM
Fast non-reversible samplers for Bayesian mixture models
Presenter
- Filippo Ascolani
January 14, 2026
ICERM
Recursive estimation for mixtures or why zooming out is a good idea
Presenter
- Bernardo Flores
January 14, 2026
ICERM
Advances in dynamic and multiplex network modeling motivated by ecology
Presenter
- David Dunson
January 14, 2026
IMSI
Optimal detection of planted matchings via the cluster expansion
Presenter
- Cheng Mao
January 13, 2026
IMSI
Bridging AI and BNP for Layered Point Pattern Data Analysis
Presenter
- Qiwei Li
January 12, 2026
ICERM
Stochastic Optimization with Superquantile Constraints: A Fast Computational Approach
Presenter
- Ying Cui
October 29, 2025
IMSI
Jun Cheng - AI acceleration of AIMD simulation of electrochemical interfaces - IPAM at UCLA
Presenter
- Jun Cheng
October 27, 2025
IPAM