Physically interpretable representation learning with Gaussian Mixture Variational AutoEncoder (GM-VAE)

Computer Methods in Applied Mechanics and Engineering 2026 Open access

Read full text

Authors: Tiffany Fan, Murray Cutforth, M. Elia, Alexandre Cortiella, Alireza Doostan, Eric Darve

DOI: 10.1016/j.cma.2026.119288

Cited by: 0

References: 11

Fields of Study & Subjects

Model Reduction and Neural Networks Generative Adversarial Networks and Image Synthesis Gaussian Processes and Bayesian Inference

References 11