A Bayesian machine scientist to aid in the solution of challenging scientific problems

25 April 2020

Papers citing "A Bayesian machine scientist to aid in the solution of challenging scientific problems"

44 / 44 papers shown

Title
KAN-SR: A Kolmogorov-Arnold Network Guided Symbolic Regression Framework Marco Andrea Bühler Gonzalo Guillén-Gosálbez 0 0 0 12 Sep 2025
Data-driven Discovery of Digital Twins in Biomedical Research Clémence Métayer Annabelle Ballesta Julien Martinelli 20 0 0 29 Aug 2025
Bayesian symbolic regression: Automated equation discovery from a physicists' perspective Roger Guimerà Marta Sales-Pardo 46 0 0 22 Jul 2025
On the definition and importance of interpretability in scientific machine learning Conor Rowan Alireza Doostan AI4CE 180 1 0 16 May 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 213 6 0 30 Mar 2025
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents Nolan Koblischke Hyunseok Jang Kristen Menou M. Ali-Dib 209 2 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 199 3 0 28 Jan 2025
In Context Learning and Reasoning for Symbolic Regression with Large Language Models Samiha Sharlin Tyler R. Josephson ReLM LLMAG LRM 163 3 0 22 Oct 2024
Quantifying Behavioural Distance Between Mathematical Expressions Sebastian Mežnar Sašo Džeroski Ljupčo Todorovski 76 1 0 21 Aug 2024
Active learning of digenic functions with boolean matrix logic programming L. Ai Stephen Muggleton Shi-shun Liang Geoff S. Baldwin 59 0 0 19 Aug 2024
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models L. Ai Stephen Muggleton Shishun Liang Geoff S. Baldwin 155 2 0 10 May 2024
The Inefficiency of Genetic Programming for Symbolic Regression -- Extended Version G. Kronberger Fabrício Olivetti de França Harry Desmond Deaglan J. Bartlett Lukas Kammerer 90 6 0 26 Apr 2024
Discovering interpretable models of scientific image data with deep learning Christopher J. Soelistyo Alan R. Lowe 102 7 0 05 Feb 2024
Exploring the Truth and Beauty of Theory Landscapes with Machine Learning Konstantin T. Matchev Katia Matcheva Pierre Ramond Sarunas Verner 110 2 0 21 Jan 2024
Seeking Truth and Beauty in Flavor Physics with Machine Learning Konstantin T. Matchev Katia Matcheva Pierre Ramond Sarunas Verner AI4CE 87 2 0 31 Oct 2023
Optimal Inflationary Potentials Tomás Sousa Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 100 5 0 25 Oct 2023
Machine learning in physics: a short guide F. A. Rodrigues PINN AI4CE 77 9 0 16 Oct 2023
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers Stéphane d’Ascoli Soren Becker Alexander Mathis Philippe Schwaller Niki Kilbertus 118 33 0 09 Oct 2023
Racing Control Variable Genetic Programming for Symbolic Regression Nan Jiang Yexiang Xue 92 4 0 13 Sep 2023
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert Ryan Cory-Wright Cristina Cornelio S. Dash Bachir El Khadir L. Horesh 131 17 0 18 Aug 2023
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning Tim Schneider A. Totounferoush Wolfgang Nowak Steffen Staab 150 0 0 14 Jun 2023
Using generative AI to investigate medical imagery models and datasets Oran Lang Doron Stupp I. Traynis Heather Cole-Lewis Chloe R. Bennett ... Avinatan Hassidim Yossi Matias Yao Xiao N. Hammel Boris Babenko MedIm 133 33 0 01 Jun 2023
Symbolic Regression via Control Variable Genetic Programming Nan Jiang Yexiang Xue 96 10 0 25 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 146 86 0 21 May 2023
Active Learning in Symbolic Regression with Physical Constraints Jorge Medina Andrew D. White 93 3 0 17 May 2023
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems Stefan Kramer Mattia Cerrato Jannis Brugger Sašo Džeroski Ross King 146 14 0 03 May 2023
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl M. Cranmer 175 52 0 02 May 2023
Automatically identifying ordinary differential equations from data Kevin Egan Weizhen Li Rui Carvalho 81 2 0 21 Apr 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 98 6 0 13 Apr 2023
Machine learning for discovering laws of nature Lizhi Xin Kevin Xin H. Xin AI4CE 99 0 0 18 Mar 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 105 97 0 06 Mar 2023
Efficient Generator of Mathematical Expressions for Symbolic Regression Sebastian Mežnar Jannis Brugger L. Todorovski 134 15 0 20 Feb 2023
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System Charles Fox Neil Tran Nikki Nacion Samiha Sharlin Tyler R. Josephson 154 4 0 27 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 124 16 0 15 Nov 2022
Catch-22s of reservoir computing Yuanzhao Zhang Sean P. Cornelius 140 16 0 18 Oct 2022
AI-Assisted Discovery of Quantitative and Formal Models in Social Science Julia Balla Sihao Huang Owen Dugan Rumen Dangovski Marin Soljacic 164 6 0 02 Oct 2022
Simplifying Polylogarithms with Machine Learning Aurélien Dersy M. Schwartz Xiao-Yan Zhang AI4CE 242 18 0 08 Jun 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 159 201 0 22 Apr 2022
Fundamental limits to learning closed-form mathematical models from data Oscar Fajardo-Fontiveros I. Reichardt Harry R. De Los Ríos Jordi Duch Marta Sales-Pardo Roger Guimerà 124 20 0 06 Apr 2022
Rediscovering orbital mechanics with machine learning Pablo Lemos N. Jeffrey M. Cranmer S. Ho Peter W. Battaglia PINN AI4CE 109 106 0 04 Feb 2022
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter D. Wadekar L. Thiele F. Villaescusa-Navarro J. Hill M. Cranmer D. Spergel N. Battaglia D. Anglés-Alcázar L. Hernquist S. Ho 158 12 0 04 Jan 2022
AI Descartes: Combining Data and Theory for Derivable Scientific Discovery Cristina Cornelio S. Dash V. Austel Tyler R. Josephson Joao Goncalves K. Clarkson N. Megiddo Bachir El Khadir L. Horesh AI4CE 166 7 0 03 Sep 2021
Probabilistic Grammars for Equation Discovery Jure Brence L. Todorovski Jannis Brugger 143 37 0 01 Dec 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 189 517 0 19 Jun 2020