Title
AI-Newton: A Concept-Driven Physical Law Discovery System without Prior Physical Knowledge You-Le Fang Dong-Shan Jian Xiang Li Yan Ma 25 0 0 02 Apr 2025
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery Rebecca Herman Jonas Wahl Urmi Ninad Jakob Runge 47 0 0 21 Mar 2025
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media Su Chen Yi Ding Hiroe Miyake Xiaojun Li 34 0 0 27 Sep 2024
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Large Language Models for Constrained-Based Causal Discovery Kai-Hendrik Cohrs Gherardo Varando Emiliano Díaz Vasileios Sitokonstantinou Gustau Camps-Valls 36 9 0 11 Jun 2024
Machine-learning invariant foliations in forced systems for reduced order modelling R. Szalai 22 1 0 21 Mar 2024
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference Krzysztof Kacprzyk Samuel Holt Jeroen Berrevoets Zhaozhi Qian M. Schaar 53 4 0 16 Mar 2024
Causal Graph Neural Networks for Wildfire Danger Prediction Shan Zhao Ioannis Prapas Ilektra Karasante Zhitong Xiong Ioannis Papoutsis Gustau Camps-Valls Xiao Xiang Zhu CML 29 6 0 13 Mar 2024
Response Theory via Generative Score Modeling L. T. Giorgini Katherine Deck Tobias Bischoff Andre N. Souza 27 9 0 01 Feb 2024
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán A. Charlton-Perez H. Dacre Simon Driscoll Suzanne L. Gray Ben Harvey ... Kieran M. R. Hunt Robert W. Lee Ranjini Swaminathan R. Vandaele Ambrogio Volonté AI4Cl 22 29 0 05 Dec 2023
Equilibrium in the Computing Continuum through Active Inference Boris Sedlak Víctor Casamayor Pujol Praveen Kumar Donta Schahram Dustdar 16 16 0 28 Nov 2023
Projecting infinite time series graphs to finite marginal graphs using number theory Andreas Gerhardus Jonas Wahl Sofia Faltenbacher Urmi Ninad Jakob Runge AI4TS 13 3 0 09 Oct 2023
Discovering Dynamic Effective Connectome of Brain with Bayesian Dynamic DAG Learning Abdolmahdi Bagheri Mohammad Pasande Kevin Bello Babak Nadjar Araabi Alireza Akhondi-Asl 17 1 0 07 Sep 2023
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DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 53 78 0 16 Sep 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 37 29 0 06 Jul 2022
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge Xiangyuan Sun Oliver Schulte Guiliang Liu Pascal Poupart CML BDL 43 18 0 09 Sep 2021
Causal Inference for Time series Analysis: Problems, Methods and Evaluation Raha Moraffah Paras Sheth Mansooreh Karami Anchit Bhattacharya Qianru Wang Anique Tahir A. Raglin Huan Liu CML AI4TS 62 103 0 11 Feb 2021
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 103 258 0 29 Sep 2019
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 66 101 0 09 Aug 2014
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 141 434 0 20 Feb 2013
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 216 626 0 20 Feb 2013
A Discovery Algorithm for Directed Cyclic Graphs Thomas S. Richardson CML 75 193 0 13 Feb 2013