Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Generative prediction of laser-induced rocket ignition with dynamic latent space representations
Tony Zahtila, Ettore Saetta, Murray Cutforth +3
Accurate and predictive scale-resolving simulations of laser-ignited rocket engines are highly time-consuming because the problem includes turbulent fuel-oxidizer mixing dynamics,…
cs.LG2025
Physically Interpretable Representation Learning with Gaussian Mixture Variational AutoEncoder (GM-VAE)
Tiffany Fan, Murray Cutforth, Marta D'Elia +3
Extracting compact, physically interpretable representations from high-dimensional scientific data is a persistent challenge due to the complex, nonlinear structures inherent in ph…
cs.LG2025
Multi-fidelity Batch Active Learning for Gaussian Process Classifiers
Murray Cutforth, Yiming Yang, Tiffany Fan +2
Many science and engineering problems rely on expensive computational simulations, where a multi-fidelity approach can accelerate the exploration of a parameter space. We study eff…