Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems

1 May 2023

Papers citing "Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems"

5 / 5 papers shown

Title
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow Carlos E. Pérez De Jesús Alec J. Linot Michael D. Graham AI4CE 27 1 0 15 Dec 2023
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models Suzanna Parkinson Greg Ongie Rebecca Willett 53 6 0 24 May 2023
Data-driven low-dimensional dynamic model of Kolmogorov flow Carlos E. Pérez De Jesús M. Graham 41 23 0 29 Oct 2022
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD Alireza Mousavi-Hosseini Sejun Park M. Girotti Ioannis Mitliagkas Murat A. Erdogdu MLT 310 48 0 29 Sep 2022
Data-driven discovery of intrinsic dynamics D. Floryan M. Graham AI4CE 85 70 0 12 Aug 2021