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A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems
Presenter
- Xiaochuan Tian
January 9, 2025
ICERM
Optimal Tensor Algebras with Applications to Reduced Order Modeling
Presenter
- Elizabeth Newman
January 9, 2025
ICERM
Train Small, Model Big: Data-Driven Scaleup for Large-Scale Physical Simulations
Presenter
- Youngsoo Choi
January 9, 2025
ICERM
Distributed Computing for Physics-Based Data-Driven Reduced Modeling at Scale
Presenter
- Ionut Farcas
January 9, 2025
ICERM
Reduced order model enhanced preconditioner for parametric radiative transfer equation
Presenter
- Zhichao Peng
January 9, 2025
ICERM
Elements of analysis of the nonlinear compressive reduced basis for the approximation of parameter dependant PDE's
Presenter
- Yvon Maday
January 8, 2025
ICERM
Structure-Preserving Learning of High-Dimensional Lagrangian and Hamiltonian Systems
Presenter
- Boris Krämer
January 8, 2025
ICERM
Exploiting Structure via Nested Operator Inference in Physics-Based Learning
Presenter
- Nicole Aretz
January 7, 2025
ICERM
Computational learning of dynamical systems with stability constraints
Presenter
- Peter Benner
January 7, 2025
ICERM
Advantages of Weak-Form Equation Learning in Reduced-Order Models for Parametric PDEs
Presenter
- April Tran
January 6, 2025
ICERM
Operator Learning via an Auto-Encoder-Based Nonlinear Model Reduction and its Error Analysis
Presenter
- Rongjie Lai
January 6, 2025
ICERM