v1v2 (latest)

Deep Symbolic Regression for Recurrent Sequences

12 January 2022

Stéphane dÁscoli

Pierre-Alexandre Kamienny

Guillaume Lample

Franccois Charton

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Papers citing "Deep Symbolic Regression for Recurrent Sequences"

22 / 22 papers shown

Title
Int2Int: a framework for mathematics with transformers François Charton ViT 147 0 0 22 Feb 2025
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length Zihan Yu Jingtao Ding Yong Li 179 3 0 06 Nov 2024
In Context Learning and Reasoning for Symbolic Regression with Large Language Models Samiha Sharlin Tyler R. Josephson ReLM LLMAG LRM 95 2 0 22 Oct 2024
Can Transformers Do Enumerative Geometry? Baran Hashemi Roderic G. Corominas Alessandro Giacchetto 530 5 0 27 Aug 2024
Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation Jingmin Sun Yuxuan Liu Zecheng Zhang Hayden Schaeffer AI4CE 117 20 0 18 Apr 2024
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 96 177 0 22 Apr 2022
Linear algebra with transformers Franccois Charton AIMat 83 59 0 03 Dec 2021
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 350 4,596 0 27 Oct 2021
Learning Mathematical Properties of Integers Maria Ryskina Kevin Knight 45 6 0 15 Sep 2021
SymbolicGPT: A Generative Transformer Model for Symbolic Regression Mojtaba Valipour Bowen You Maysum Panju A. Ghodsi 53 95 0 27 Jun 2021
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 91 180 0 11 Jun 2021
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden K. Petersen Mikel Landajuela T. Nathan Mundhenk Claudio Santiago Soo K. Kim Joanne T. Kim 60 319 0 10 Dec 2019
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery Samuel Kim Peter Y. Lu Srijon Mukherjee M. Gilbert Li Jing V. Ceperic Marin Soljacic 65 166 0 10 Dec 2019
Deep Learning for Symbolic Mathematics Guillaume Lample François Charton 3DGS 117 414 0 02 Dec 2019
Analysing Mathematical Reasoning Abilities of Neural Models D. Saxton Edward Grefenstette Felix Hill Pushmeet Kohli LRM 209 431 0 02 Apr 2019
Neural Arithmetic Logic Units Andrew Trask Felix Hill Scott E. Reed Jack W. Rae Chris Dyer Phil Blunsom NAI 77 206 0 01 Aug 2018
Learning Equations for Extrapolation and Control Subham S. Sahoo Christoph H. Lampert Georg Martius 68 235 0 19 Jun 2018
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks Hyoungwook Nam Segwang Kim Kyomin Jung AIMat 58 15 0 19 May 2018
Can machine learning identify interesting mathematics? An exploration using empirically observed laws C. Wu 37 7 0 18 May 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 803 132,454 0 12 Jun 2017
Learning Continuous Semantic Representations of Symbolic Expressions Miltiadis Allamanis Pankajan Chanthirasegaran Pushmeet Kohli Charles Sutton CLL NAI 102 99 0 04 Nov 2016
Neural GPUs Learn Algorithms Lukasz Kaiser Ilya Sutskever 90 370 0 25 Nov 2015