Symbolic expression generation via Variational Auto-Encoder

15 January 2023

Papers citing "Symbolic expression generation via Variational Auto-Encoder"

11 / 11 papers shown

Title
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding T. Nathan Mundhenk Mikel Landajuela Ruben Glatt Claudio Santiago Daniel Faissol Brenden K. Petersen 108 92 0 29 Oct 2021
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 91 180 0 11 Jun 2021
Informed Equation Learning M. Werner Andrej Junginger Philipp Hennig Georg Martius 46 14 0 13 May 2021
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity S. Udrescu A. Tan Jiahai Feng Orisvaldo Neto Tailin Wu Max Tegmark 107 193 0 18 Jun 2020
Deep Learning for Symbolic Mathematics Guillaume Lample François Charton 3DGS 122 414 0 02 Dec 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 165 887 0 27 May 2019
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 98 391 0 26 Jul 2018
Learning Equations for Extrapolation and Control Subham S. Sahoo Christoph H. Lampert Georg Martius 68 235 0 19 Jun 2018
Extrapolation and learning equations Georg Martius Christoph H. Lampert 54 159 0 10 Oct 2016
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 113 2,365 0 19 Nov 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013