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AI Feynman: a Physics-Inspired Method for Symbolic Regression

27 May 2019

Papers citing "AI Feynman: a Physics-Inspired Method for Symbolic Regression"

50 / 344 papers shown

Title
HiPreNets: High-Precision Neural Networks through Progressive Training Ethan Mulle W. Kang Q. Gong 20 0 0 18 Jun 2025
Interpretability and Generalization Bounds for Learning Spatial Physics Alejandro Francisco Queiruga Theo Gutman-Solo Shuai Jiang AI4CE 28 0 0 18 Jun 2025
Solving Inverse Problems in Stochastic Self-Organising Systems through Invariant Representations Elias Najarro Nicolas Bessone S. Risi CML 14 0 0 13 Jun 2025
A Survey of Physics-Informed AI for Complex Urban Systems En Xu Huandong Wang Yunke Zhang Sibo Li Yinzhou Tang ... Yuming Lin Yuan Yuan Xiaochen Fan Jingtao Ding Yong Li AI4CE 25 0 0 09 Jun 2025
Improving Memory Efficiency for Training KANs via Meta Learning Zhangchi Zhao Jun Shu Deyu Meng Zongben Xu 17 0 0 09 Jun 2025
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression Mansooreh Montazerin Majd Al Aawar Antonio Ortega Ajitesh Srivastava 17 0 0 09 Jun 2025
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Zhenyu Yu Mohd Yamani Idna Idris Pei Wang Yuelong Xia Fei Ma Rizwan Qureshi 50 0 0 06 Jun 2025
Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony James P. Bagrow Josh Bongard 37 0 0 03 Jun 2025
Diffusion-Based Symbolic Regression Zachary Bastiani R. Kirby Jacob Hochhalter Shandian Zhe DiffM 24 0 0 30 May 2025
Automated Modeling Method for Pathloss Model Discovery Ahmad Anaqreh Shih-Kai Chou M. Mohorčič Thomas Lagkas Carolina Fortuna 84 0 0 29 May 2025
Can Test-time Computation Mitigate Memorization Bias in Neural Symbolic Regression? Shun Sato Issei Sato 14 0 0 28 May 2025
Spectral-inspired Neural Operator for Data-efficient PDE Simulation in Physics-agnostic Regimes Han Wan Rui Zhang Hao Sun AI4CE 80 0 0 27 May 2025
Governing Equation Discovery from Data Based on Differential Invariants Lexiang Hu Yikang Li Zhouchen Lin 54 0 0 24 May 2025
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback Wangyang Ying Haoyue Bai Nanxu Gong Xinyuan Wang Sixun Dong Haifeng Chen Yanjie Fu 72 3 0 21 May 2025
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery Tianshi Zheng Zheye Deng Hong Ting Tsang Weiqi Wang Jiaxin Bai Zihao Wang Yangqiu Song LLMAG LM&Ro 103 2 0 19 May 2025
Interpretable Robotic Friction Learning via Symbolic Regression Philipp Scholl Alexander Dietrich Sebastian Wolf Jinoh Lee Alin Albu-Schäffer Gitta Kutyniok Maged Iskandar 44 0 0 19 May 2025
Discovering Symbolic Differential Equations with Symmetry Invariants Jianke Yang Manu Bhat Bryan Hu Yadi Cao Nima Dehmamy Robin Walters Rose Yu 45 0 0 17 May 2025
On the definition and importance of interpretability in scientific machine learning Conor Rowan Alireza Doostan AI4CE 87 0 0 16 May 2025
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era Nima Dehghani AI4CE 106 0 0 12 May 2025
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks Hao Xu Y. Chen Rui Cao Tianning Tang Mengge Du Jiacheng Li Adrian H. Callaghan Dongxiao Zhang 75 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 73 0 0 06 May 2025
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression Stefano Markidis Jonah Ekelund Luca Pennati Andong Hu Ivy Peng 37 0 0 25 Apr 2025
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression Jiří Kubalík Robert Babuška 70 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 71 2 0 14 Apr 2025
CTSR: Cartesian tensor-based sparse regression for data-driven discovery of high-dimensional invariant governing equations Boqian Zhang Juanmian Lei Guoyou Sun Shuaibing Ding Jian Guo 83 0 0 10 Apr 2025
Identifying Unknown Stochastic Dynamics via Finite expression methods Senwei Liang Chunmei Wang Xingjian Xu 93 0 0 09 Apr 2025
Do Two AI Scientists Agree? Xinghong Fu Ziming Liu Max Tegmark 99 1 0 03 Apr 2025
AI-Newton: A Concept-Driven Physical Law Discovery System without Prior Physical Knowledge You-Le Fang Dong-Shan Jian Xiang Li Yan Ma 61 0 0 02 Apr 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 160 2 0 30 Mar 2025
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints J.-P. Bruneton 130 0 0 24 Mar 2025
High-entropy Advantage in Neural Networks' Generalizability Entao Yang Wei Wei Yue Shang Ge Zhang AI4CE 119 0 0 17 Mar 2025
Impilict Runge-Kutta based sparse identification of governing equations in biologically motivated systems Mehrdad Anvari Hamidreza Marasi Hossein Kheiri 143 0 0 27 Feb 2025
Steganography Beyond Space-Time with Chain of Multimodal AI Ching-Chun Chang Isao Echizen 165 0 0 25 Feb 2025
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation Wenxuan Wang K. Wu Yujian Betterest Li Dan Wang Xinsong Zhang Qingbin Liu AI4TS 115 1 0 24 Feb 2025
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Madhav Muthyala Farshud Sorourifar You Peng J. Paulson 267 2 0 05 Feb 2025
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Krzysztof Kacprzyk Mihaela van der Schaar 289 0 0 30 Jan 2025
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models Fabrício Olivetti de França G. Kronberger 137 1 0 29 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 168 2 0 28 Jan 2025
Alleviating Overfitting in Transformation-Interaction-Rational Symbolic Regression with Multi-Objective Optimization Fabricio Olivetti de Franca 137 3 0 03 Jan 2025
Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization Ganlin Liu Ziling Liang Xiaowei Huang Xinping Yi Shi Jin AAML 85 0 0 25 Dec 2024
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges Chandan K. Reddy Parshin Shojaee 147 11 0 16 Dec 2024
Visual IRL for Human-Like Robotic Manipulation Ehsan Asali Prashant Doshi 145 1 0 16 Dec 2024
Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics Samuel Filgueira da Silva M. F. Ozkan Faissal El Idrissi Prashanth Ramesh Marcello Canova 98 1 0 20 Nov 2024
Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life Pei Li Joo-Ho Choi Dingyang Zhang Shuyou Zhang Yiming Zhang AI4CE 113 0 0 18 Nov 2024
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression Jiao Hu Jiaxu Cui Bo Yang AI4CE 95 0 0 11 Nov 2024
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length Zihan Yu Jingtao Ding Yong Li 193 3 0 06 Nov 2024
Guiding Genetic Programming with Graph Neural Networks Piotr Wyrwiński Krzysztof Krawiec 52 0 0 03 Nov 2024
GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws Dimitrios G. Patsatzis Mario di Bernardo L. Russo Constantinos Siettos AI4CE 50 2 0 29 Oct 2024
In Context Learning and Reasoning for Symbolic Regression with Large Language Models Samiha Sharlin Tyler R. Josephson ReLM LLMAG LRM 118 2 0 22 Oct 2024
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$ Shengbin Ye Meng Li 111 0 0 17 Oct 2024