Neural Symbolic Regression that Scales

11 June 2021

Giambattista Parascandolo

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Papers citing "Neural Symbolic Regression that Scales"

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GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations Nisal Ranasinghe Damith A. Senanayake Sachith Seneviratne Malin Premaratne Saman K. Halgamuge 22 3 0 18 Dec 2023
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions Esteban Real Yao Chen Mirko Rossini Connal de Souza Manav Garg Akhil Verghese Moritz Firsching Quoc V. Le E. D. Cubuk David H. Park 11 1 0 13 Dec 2023
A Transformer Model for Symbolic Regression towards Scientific Discovery Florian Lalande Yoshitomo Matsubara Naoya Chiba Tatsunori Taniai Ryo Igarashi Yoshitala Ushiku 23 2 0 07 Dec 2023
Physical Symbolic Optimization Wassim Tenachi Rodrigo Ibata F. Diakogiannis 35 0 0 06 Dec 2023
MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations Yanjie Li Weijun Li Lina Yu Min Wu Jinyi Liu Wenqiang Li Meilan Hao Shu Wei Yusong Deng 10 1 0 13 Nov 2023
Discovering Interpretable Physical Models using Symbolic Regression and Discrete Exterior Calculus Simone Manti Alessandro Lucantonio AI4CE 8 4 0 10 Oct 2023
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization Philipp Scholl Katharina Bieker Hillary Hauger Gitta Kutyniok 38 4 0 09 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training Kazem Meidani Parshin Shojaee Chandan K. Reddy A. Farimani 18 18 0 03 Oct 2023
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data Wenqiang Li Weijun Li Lina Yu Min Wu Linjun Sun Jingyi Liu Yanjie Li Shu Wei Yusong Deng Meilan Hao 16 3 0 24 Sep 2023
Racing Control Variable Genetic Programming for Symbolic Regression Nan Jiang Yexiang Xue 16 2 0 13 Sep 2023
Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos Caroline Silva A. Sobral A. Vacavant T. Bouwmans José A. M. Felippe De Souza 17 0 0 11 Aug 2023
Predicting Ordinary Differential Equations with Transformers Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus 27 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
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
Simultaneous identification of models and parameters of scientific simulators Cornelius Schroder Jakob H. Macke 32 4 0 24 May 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 35 72 0 21 May 2023
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning R. Dutta Qinchen Wang Ankur Singh Dhruv Kumarjiguda Xiaoli Li Senthilnath Jayavelu 8 2 0 12 May 2023
Collective Relational Inference for learning heterogeneous interactions Zhichao Han Olga Fink David S. Kammer 13 1 0 30 Apr 2023
Controllable Neural Symbolic Regression Tommaso Bendinelli Luca Biggio Pierre-Alexandre Kamienny 23 14 0 20 Apr 2023
Differentiable Genetic Programming for High-dimensional Symbolic Regression Peng Zeng Xiaotian Song Andrew Lensen Yuwei Ou Yanan Sun Mengjie Zhang Jiancheng Lv 18 2 0 18 Apr 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 29 5 0 13 Apr 2023
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition F. O. França M. Virgolin M. Kommenda M. Majumder M. Cranmer ... Bogdan Burlacu Jaan Kasak Meera Machado Casper Wilstrup William La Cava 16 10 0 03 Apr 2023
Transformer-based Planning for Symbolic Regression Parshin Shojaee Kazem Meidani A. Farimani Chandan K. Reddy 36 33 0 13 Mar 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 29 77 0 23 Feb 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny Guillaume Lample Sylvain Lamprier M. Virgolin 21 25 0 22 Feb 2023
Online Symbolic Regression with Informative Query Pengwei Jin Di Huang Rui Zhang Xingui Hu Ziyuan Nan Zidong Du Qi Guo Yunji Chen 16 2 0 21 Feb 2023
Efficient Generator of Mathematical Expressions for Symbolic Regression Sebastian Mežnar S. Džeroski L. Todorovski 17 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 13 11 0 01 Feb 2023
Symbolic expression generation via Variational Auto-Encoder Sergei Popov Mikhail Lazarev V. Belavin D. Derkach Andrey Ustyuzhanin DRL 24 5 0 15 Jan 2023
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Sai Wang L. Ni H. Shum AIFin 19 7 0 13 Dec 2022
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke S. Chawla 22 92 0 20 Nov 2022
Discovering ordinary differential equations that govern time-series Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus AI4TS 19 4 0 05 Nov 2022
What is my math transformer doing? -- Three results on interpretability and generalization Franccois Charton 11 19 0 31 Oct 2022
AI-Assisted Discovery of Quantitative and Formal Models in Social Science Julia Balla Sihao Huang Owen Dugan Rumen Dangovski Marin Soljacic 23 5 0 02 Oct 2022
NIERT: Accurate Numerical Interpolation through Unifying Scattered Data Representations using Transformer Encoder Shi-qi Ding Boyang Xia Milong Ren Dongbo Bu 12 2 0 19 Sep 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology Muhammad Hassan Haifei Guan Aikaterini Melliou Yuqi Wang Qianhui Sun ... Qi Huang Jiefu Tan Qinwang Xing Peiwu Qin Dongmei Yu NAI 29 14 0 31 Jul 2022
SALSA: Attacking Lattice Cryptography with Transformers Emily Wenger Mingjie Chen Franccois Charton Kristin E. Lauter AAML 18 35 0 11 Jul 2022
D-CIPHER: Discovery of Closed-form Partial Differential Equations Krzysztof Kacprzyk Zhaozhi Qian M. Schaar AI4CE 19 1 0 21 Jun 2022
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery Yoshitomo Matsubara Naoya Chiba Ryo Igarashi Yoshitaka Ushiku 31 21 0 21 Jun 2022
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse Lorenzo Noci Sotiris Anagnostidis Luca Biggio Antonio Orvieto Sidak Pal Singh Aurélien Lucchi 43 65 0 07 Jun 2022
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction Luca Biggio Tommaso Bendinelli Chetan S. Kulkarni Olga Fink 22 10 0 01 Jun 2022
CoNSoLe: Convex Neural Symbolic Learning Haoran Li Yang Weng Hanghang Tong 16 9 0 01 Jun 2022
SymFormer: End-to-end symbolic regression using transformer-based architecture Martin Vastl Jonáš Kulhánek Jiří Kubalík Erik Derner Robert Babuška 22 43 0 31 May 2022
GSR: A Generalized Symbolic Regression Approach Tony Tohme Dehong Liu K. Youcef-Toumi 51 14 0 31 May 2022
The impact of memory on learning sequence-to-sequence tasks Alireza Seif S. Loos Gennaro Tucci É. Roldán Sebastian Goldt 18 4 0 29 May 2022
Symbolic Expression Transformer: A Computer Vision Approach for Symbolic Regression Jiachen Li Ye Yuan Hongze Shen 27 7 0 24 May 2022
Taylor Genetic Programming for Symbolic Regression Baihe He Qiang Lu Qingyun Yang Jake Luo Zhiguang Wang 24 29 0 28 Apr 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 19 161 0 22 Apr 2022
FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control Dimitri von Rutte Luca Biggio Yannic Kilcher Thomas Hofmann 25 0 0 26 Jan 2022