Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants

19 November 2022

Papers citing "Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants"

8 / 8 papers shown

Title
Optimizing Hard Thresholding for Sparse Model Discovery Derek W. Jollie Scott G. McCalla 41 0 0 28 Apr 2025
Recurrent Deep Kernel Learning of Dynamical Systems N. Botteghi Paolo Motta Andrea Manzoni P. Zunino Mengwu Guo 13 1 0 30 May 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration Y. Sun Wenjun Xiong F. Liang 40 8 0 01 Oct 2021
Consistent Sparse Deep Learning: Theory and Computation Y. Sun Qifan Song F. Liang BDL 33 28 0 25 Feb 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions Wei Deng Guang Lin F. Liang BDL 34 27 0 19 Oct 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 170 756 0 13 Mar 2020
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,263 0 09 Jun 2012