End-to-end symbolic regression with transformers

22 April 2022

Pierre-Alexandre Kamienny

Papers citing "End-to-end symbolic regression with transformers"

36 / 36 papers shown

Title
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics Conor F. Hayes Felipe Leno Da Silva Jiachen Yang T. Nathan Mundhenk Chak Shing Lee ... Ahmet Can Solak Thomas Desautels Daniel Faissol Brenden K. Petersen Mikel Landajuela 22 0 0 16 May 2025
UniSymNet: A Unified Symbolic Network Guided by Transformer Xinxin Li Juan Zhang Da Li Xingyu Liu Jin Xu Junping Yin 34 0 0 09 May 2025
Identifying Unknown Stochastic Dynamics via Finite expression methods Senwei Liang Chunmei Wang Xingjian Xu 28 0 0 09 Apr 2025
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks Amanda Bertschinger James P. Bagrow Joshua Bongard 90 1 0 24 Feb 2025
Analytical Lyapunov Function Discovery: An RL-based Generative Approach Haohan Zou Jie Feng Hao Zhao Yuanyuan Shi 95 0 0 04 Feb 2025
Generalizing the SINDy approach with nested neural networks Camilla Fiorini Clément Flint Louis Fostier Emmanuel Franck Reyhaneh Hashemi Victor Michel-Dansac Wassim Tenachi 76 1 0 28 Jan 2025
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
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence İlker Işık R. G. Cinbis Ebru Aydin Gol 36 0 0 22 Oct 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 7 0 15 Sep 2024
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 25 2 0 09 Sep 2024
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching Nan Jiang Md Nasim Yexiang Xue 42 0 0 02 Sep 2024
Accelerating evolutionary exploration through language model-based transfer learning M. Reissmann Yuan Fang Andrew S. H. Ooi R. D. Sandberg 47 2 0 07 Jun 2024
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming Yousef A. Radwan G. Kronberger Stephan M. Winkler OffRL 62 4 0 05 Jun 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 51 0 0 10 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee Kazem Meidani Shashank Gupta A. Farimani Chandan K. Reddy 42 15 0 29 Apr 2024
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning Yanjie Li Weijun Li Lina Yu Min Wu Jingyi Liu Wenqiang Li Meilan Hao Shu Wei Yusong Deng 40 2 0 09 Apr 2024
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression Min Wu Weijun Li Lina Yu Wenqiang Li Jingyi Liu Yanjie Li Meilan Hao 20 1 0 25 Jan 2024
Vertical Symbolic Regression Nan Jiang Md Nasim Yexiang Xue 27 1 0 19 Dec 2023
Physical Symbolic Optimization Wassim Tenachi Rodrigo Ibata F. Diakogiannis 44 0 0 06 Dec 2023
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers Stéphane d’Ascoli Soren Becker Alexander Mathis Philippe Schwaller Niki Kilbertus 29 22 0 09 Oct 2023
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization Philipp Scholl Katharina Bieker Hillary Hauger Gitta Kutyniok 45 4 0 09 Oct 2023
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning Tim Schneider A. Totounferoush Wolfgang Nowak Steffen Staab 26 0 0 14 Jun 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 30 3 0 07 Jun 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 42 5 0 13 Apr 2023
Language Model Crossover: Variation through Few-Shot Prompting Elliot Meyerson M. Nelson Herbie Bradley Adam Gaier Arash Moradi Amy K. Hoover Joel Lehman VLM 40 79 0 23 Feb 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny Guillaume Lample Sylvain Lamprier M. Virgolin 34 25 0 22 Feb 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 36 22 0 13 Jan 2023
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke S. Chawla 38 93 0 20 Nov 2022
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
Discovering ordinary differential equations that govern time-series Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus AI4TS 27 4 0 05 Nov 2022
Symbolic Distillation for Learned TCP Congestion Control S. Sharan Wenqing Zheng Kuo-Feng Hsu Jiarong Xing Ang Chen Zhangyang Wang 26 5 0 24 Oct 2022
FACT: Learning Governing Abstractions Behind Integer Sequences Peter Belcak Ard Kastrati Flavio Schenker Roger Wattenhofer 38 5 0 20 Sep 2022
Deep Symbolic Regression for Recurrent Sequences Stéphane dÁscoli Pierre-Alexandre Kamienny Guillaume Lample Franccois Charton 47 54 0 12 Jan 2022
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 52 225 0 23 Mar 2021