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Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification
Presenter
- Benjamin Zhang
July 15, 2025
IPAM
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
Presenter
- Andrew Brown
May 22, 2025
IMSI
Quantification of total uncertainty in modeling biological systems
Presenter
- George Karniadakis
May 6, 2025
ICERM
Collective motion in complex geometries: modeling and experiments with wild bats
Presenter
- Nicole Abaid
March 17, 2025
IMSI
Structure-Preserving Learning of High-Dimensional Lagrangian and Hamiltonian Systems
Presenter
- Boris Krämer
January 8, 2025
ICERM
Advantages of Weak-Form Equation Learning in Reduced-Order Models for Parametric PDEs
Presenter
- April Tran
January 6, 2025
ICERM
Formalism-agnostic Composable Quantum Network Modeling
Presenter
- Stefan Krastanov
September 30, 2024
IMSI
Proximal Optimal Transport Divergences for Generative Modeling
Presenter
- Luc Rey-Bellet
September 13, 2024
ICERM
A Mean-Field Games Laboratory for Generative Modeling: Implications for Robust Generative Algorithms
Presenter
- Markos Katsoulakis
September 13, 2024
ICERM
Recent Advances in Weak From-Based Learning of Interacting Particle Systems
Presenter
- David Bortz
May 7, 2024
ICERM
Machine Learning and Reduced Order Modeling for Large-Scale Industrial Digital Twins
Presenter
- David Knezevic
March 23, 2024
ICERM