High-order Differentiable Autoencoder for Nonlinear Model Reduction

19 February 2021

Papers citing "High-order Differentiable Autoencoder for Nonlinear Model Reduction"

7 / 7 papers shown

Title
Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems Marco Lepri Davide Bacciu Cosimo Della Santina AI4CE 38 8 0 11 Dec 2023
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields Yue Chang Julius Berner Zhecheng Wang Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 23 7 0 24 Oct 2023
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction Jonas Kneifl D. Rosin Oliver Röhrle Jörg Fehr AI4CE 21 13 0 13 Feb 2023
Neural Cloth Simulation Hugo Bertiche Argila Meysam Madadi Sergio Escalera 3DH OOD AI4CE 22 52 0 13 Dec 2022
Differentiable Hybrid Traffic Simulation Sanghyun Son Yi-Ling Qiao J. Sewall Ming-Chyuan Lin 22 11 0 14 Oct 2022
Human Trajectory Prediction via Neural Social Physics Jiangbei Yue Tianyi Zhou He-Nan Wang AI4CE 24 100 0 21 Jul 2022
Model reduction for the material point method via an implicit neural representation of the deformation map Julius Berner Maurizio M. Chiaramonte E. Grinspun Kevin Carlberg 29 15 0 25 Sep 2021