Deep Symbolic Regression for Recurrent Sequences

12 January 2022

Stéphane dÁscoli

Pierre-Alexandre Kamienny

Guillaume Lample

Franccois Charton

ArXiv PDF HTML

Papers citing "Deep Symbolic Regression for Recurrent Sequences"

46 / 46 papers shown

Title
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression Jiří Kubalík Robert Babuška 22 0 0 23 Apr 2025
Grammar-based Ordinary Differential Equation Discovery Karin L. Yu Eleni Chatzi Georgios Kissas 45 0 0 03 Apr 2025
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models Nisal Ranasinghe Damith A. Senanayake Saman K. Halgamuge 41 0 0 30 Mar 2025
Int2Int: a framework for mathematics with transformers François Charton ViT 46 0 0 22 Feb 2025
Learning Elementary Cellular Automata with Transformers Mikhail Burtsev 83 1 0 02 Dec 2024
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends Xin Zhang Victor S. Sheng AI4TS 34 4 0 07 Nov 2024
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length Zihan Yu Jingtao Ding Yong Li 44 0 0 06 Nov 2024
In Context Learning and Reasoning for Symbolic Regression with Large Language Models Samiha Sharlin Tyler R. Josephson ReLM LLMAG LRM 47 1 0 22 Oct 2024
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics Yuxuan Liu Jingmin Sun Xinjie He Griffin Pinney Zecheng Zhang Hayden Schaeffer AI4CE 43 6 0 15 Sep 2024
LeMON: Learning to Learn Multi-Operator Networks Jingmin Sun Zecheng Zhang Hayden Schaeffer 38 6 0 28 Aug 2024
Can Transformers Do Enumerative Geometry? Baran Hashemi Roderic G. Corominas Alessandro Giacchetto 44 2 0 27 Aug 2024
Learning the Simplicity of Scattering Amplitudes Clifford Cheung Aurélien Dersy Matthew D. Schwartz 30 3 0 08 Aug 2024
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming Yousef A. Radwan G. Kronberger Stephan M. Winkler OffRL 56 4 0 05 Jun 2024
Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory Tianji Cai G. W. Merz Franccois Charton Niklas Nolte Matthias Wilhelm K. Cranmer Lance J. Dixon 34 15 0 09 May 2024
Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation Jingmin Sun Yuxuan Liu Zecheng Zhang Hayden Schaeffer AI4CE 30 15 0 18 Apr 2024
Automated Discovery of Integral with Deep Learning Xiaoxin Yin 14 0 0 28 Feb 2024
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 56 14 0 22 Feb 2024
Symbolic Equation Solving via Reinforcement Learning Lennart Dabelow Masahito Ueda 53 2 0 24 Jan 2024
PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers Yuxuan Liu Zecheng Zhang Hayden Schaeffer 29 18 0 28 Sep 2023
Predicting Ordinary Differential Equations with Transformers Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus 32 14 0 24 Jul 2023
SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets Cathy Li Emily Wenger Zeyuan Allen-Zhu François Charton Kristin E. Lauter AAML 25 10 0 20 Jun 2023
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl M. Cranmer 41 39 0 02 May 2023
Controllable Neural Symbolic Regression Tommaso Bendinelli Luca Biggio Pierre-Alexandre Kamienny 36 14 0 20 Apr 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 39 5 0 13 Apr 2023
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning Micah Goldblum Marc Finzi K. Rowan A. Wilson UQCV FedML 24 37 0 11 Apr 2023
Efficient Generator of Mathematical Expressions for Symbolic Regression Sebastian Mežnar S. Džeroski L. Todorovski 35 12 0 20 Feb 2023
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression Jiří Kubalík Erik Derner Robert Babuška 15 11 0 01 Feb 2023
Alien Coding Thibault Gauthier Miroslav Olsák J. Urban 30 7 0 27 Jan 2023
Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles Roy T. Forestano Konstantin T. Matchev Katia Matcheva Alexander Roman Eyup B. Unlu Sarunas Verner AI4CE 33 21 0 13 Jan 2023
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression Zhongtian Dong K. Kong Konstantin T. Matchev Katia Matcheva 46 13 0 15 Nov 2022
Periodic Extrapolative Generalisation in Neural Networks Peter Belcak Roger Wattenhofer 6 3 0 21 Sep 2022
FACT: Learning Governing Abstractions Behind Integer Sequences Peter Belcak Ard Kastrati Flavio Schenker Roger Wattenhofer 38 5 0 20 Sep 2022
SALSA: Attacking Lattice Cryptography with Transformers Emily Wenger Mingjie Chen Franccois Charton Kristin E. Lauter AAML 33 35 0 11 Jul 2022
Symbolic Regression is NP-hard M. Virgolin S. Pissis 67 61 0 03 Jul 2022
KitBit: A New AI Model for Solving Intelligence Tests and Numerical Series Víctor Corsino J. M. Gilpérez Luis Herrera AIMat 18 0 0 17 Jun 2022
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning Abdulhakim Alnuqaydan S. Gleyzer Harrison B. Prosper 18 14 0 17 Jun 2022
SymFormer: End-to-end symbolic regression using transformer-based architecture Martin Vastl Jonáš Kulhánek Jiří Kubalík Erik Derner Robert Babuška 32 43 0 31 May 2022
HyperTree Proof Search for Neural Theorem Proving Guillaume Lample Marie-Anne Lachaux Thibaut Lavril Xavier Martinet Amaury Hayat Gabriel Ebner Aurelien Rodriguez Timothée Lacroix AIMat 28 134 0 23 May 2022
Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression M. Virgolin Peter A. N. Bosman 17 7 0 26 Apr 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 25 162 0 22 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 45 127 0 11 Apr 2022
Learning Program Synthesis for Integer Sequences from Scratch Thibault Gauthier Josef Urban 68 8 0 24 Feb 2022
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression Dazhuang Liu M. Virgolin Tanja Alderliesten Peter A. N. Bosman 44 12 0 14 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Linear algebra with transformers Franccois Charton AIMat 29 56 0 03 Dec 2021
Symbolic integration by integrating learning models with different strengths and weaknesses Hazumi Kubota Y. Tokuoka Takahiro G. Yamada Akira Funahashi AIMat 23 4 0 09 Mar 2021