Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Deep Embedded Multiplicative DMD for Algebra-Preserving Koopman Learning
Kelan Gray, Finlay Brown, Nicolas Boullé +1
Koopman theory turns nonlinear dynamics into a linear spectral problem. In computation, however, everything depends on a hard finite-dimensional choice: the observables must be exp…
cs.LG2025
Noisy PDE Training Requires Bigger PINNs
Sebastien Andre-Sloan, Anirbit Mukherjee, Matthew Colbrook
Physics-Informed Neural Networks (PINNs) are increasingly used to approximate solutions of partial differential equations (PDEs), particularly in high dimensions. In real-world set…