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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Title
Discovering Symbolic Differential Equations with Symmetry Invariants Jianke Yang Manu Bhat Bryan Hu Yadi Cao Nima Dehmamy Robin G. Walters Rose Yu 0 0 0 17 May 2025
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 A. Desautels D. Faissol Brenden K. Petersen Mikel Landajuela 14 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
Call for Action: towards the next generation of symbolic regression benchmark Guilherme Seidyo Imai Aldeia Hengzhe Zhang Geoffrey Bomarito Miles Cranmer Alcides Fonseca Bogdan Burlacu William La Cava F. O. França 22 0 0 06 May 2025
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression Jiří Kubalík Robert Babuška 22 0 0 23 Apr 2025
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models Parshin Shojaee Ngoc-Hieu Nguyen Kazem Meidani A. Farimani Khoa D. Doan Chandan K. Reddy 31 1 0 14 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
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints J.-P. Bruneton 51 0 0 24 Mar 2025
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks Amanda Bertschinger James P. Bagrow Joshua Bongard 87 1 0 24 Feb 2025
Int2Int: a framework for mathematics with transformers François Charton ViT 46 0 0 22 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
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Krzysztof Kacprzyk M. Schaar 114 0 0 30 Jan 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
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression N. Makke S. Chawla 51 0 0 13 Jan 2025
Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization Ganlin Liu Ziling Liang Xiaowei Huang Xinping Yi Shi Jin AAML 42 0 0 25 Dec 2024
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges Chandan K. Reddy Parshin Shojaee 73 4 0 16 Dec 2024
Visual IRL for Human-Like Robotic Manipulation Ehsan Asali Prashant Doshi 81 1 0 16 Dec 2024
ViSymRe: Vision-guided Multimodal Symbolic Regression Da Li Junping Yin Jin Xu Xinxin Li Juan Zhang 85 1 0 15 Dec 2024
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression Jiao Hu Jiaxu Cui Bo Yang AI4CE 36 0 0 11 Nov 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
Guiding Genetic Programming with Graph Neural Networks Piotr Wyrwiński Krzysztof Krawiec 24 0 0 03 Nov 2024
Neural Symbolic Regression of Complex Network Dynamics Haiquan Qiu Shuzhi Liu Quanming Yao 32 1 0 15 Oct 2024
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers Alberto Alfarano François Charton Amaury Hayat 25 12 0 10 Oct 2024
Disentangled Representation Learning for Parametric Partial Differential Equations Ning Liu Lu Zhang Tian Gao Yue Yu DRL AI4CE 47 0 0 03 Oct 2024
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 23 2 0 09 Sep 2024
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors Hao Shi Weili Song Xinting Zhang Jiahe Shi Cuicui Luo Xiang Ao Hamid Arian Luis Seco 31 2 0 26 Jun 2024
Univariate Skeleton Prediction in Multivariate Systems Using Transformers Giorgio Morales John W. Sheppard 41 1 0 25 Jun 2024
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars Wesley Brewer Aditya Kashi Sajal Dash A. Tsaris Junqi Yin Mallikarjun Shankar Feiyi Wang 46 0 0 24 Jun 2024
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning Jingyi Liu Yanjie Li Lina Yu Min Wu Weijun Li Wenqiang Li Meilan Hao Yusong Deng Shu Wei 49 0 0 21 Jun 2024
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression Yufan Zhu Zi-Yu Khoo Jonathan Sze Choong Low Stephane Bressan AI4Ed 38 2 0 17 Jun 2024
Discovering Preference Optimization Algorithms with and for Large Language Models Chris Xiaoxuan Lu Samuel Holt Claudio Fanconi Alex J. Chan Jakob Foerster M. Schaar R. T. Lange OffRL 37 15 0 12 Jun 2024
MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models Yanjie Li Weijun Li Lina Yu Min Wu Jingyi Liu Wenqiang Li Shu Wei Yusong Deng OffRL 31 3 0 08 Jun 2024
Accelerating evolutionary exploration through language model-based transfer learning M. Reissmann Yuan Fang Andrew S. H. Ooi R. D. Sandberg 44 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 56 4 0 05 Jun 2024
Sharpness-Aware Minimization in Genetic Programming I. Bakurov N. Haut Wolfgang Banzhaf 30 0 0 16 May 2024
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery Pingchuan Ma Tsun-Hsuan Wang Minghao Guo Zhiqing Sun Joshua B. Tenenbaum Daniela Rus Chuang Gan Wojciech Matusik AI4CE 45 26 0 16 May 2024
LLM4ED: Large Language Models for Automatic Equation Discovery Mengge Du Yuntian Chen Zhongzheng Wang Longfeng Nie Dong-juan Zhang 41 3 0 13 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 51 0 0 10 May 2024
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery Matteo Merler Katsiaryna Haitsiukevich Nicola Dainese Pekka Marttinen 42 7 0 29 Apr 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
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations Krzysztof Kacprzyk M. Schaar 29 1 0 15 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
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning Jiacheng Chen Zeyuan Ma Hongshu Guo Yining Ma Jie Zhang Yue-jiao Gong 32 12 0 04 Feb 2024
Vertical Symbolic Regression via Deep Policy Gradient Nan Jiang Md Nasim Yexiang Xue 24 1 0 01 Feb 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
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search Yanjie Li Weijun Li Lina Yu Min Wu Jingyi Liu Wenqiang Li Meilan Hao Shu Wei Yusong Deng 48 9 0 24 Jan 2024
Extracting Formulae in Many-Valued Logic from Deep Neural Networks Yani Zhang Helmut Bölcskei 24 0 0 22 Jan 2024
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression Ho Fung Tsoi Vladimir Loncar S. Dasu Philip C. Harris 39 3 0 18 Jan 2024
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive Symbolic Regression Framework Tianhao Chen Pengbo Xu Haibiao Zheng AI4CE 26 4 0 18 Jan 2024