gCastle: A Python Toolbox for Causal Discovery

30 November 2021

Papers citing "gCastle: A Python Toolbox for Causal Discovery"

39 / 39 papers shown

Title
Structure Causal Models and LLMs Integration in Medical Visual Question Answering Zibo Xu Qiang Li Weizhi Nie Weijie Wang Anan Liu CML MedIm 35 0 0 05 May 2025
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery Rebecca Herman Jonas Wahl Urmi Ninad Jakob Runge 42 0 0 21 Mar 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning Jiaru Zhang Rui Ding Qiang Fu Bojun Huang Zizhen Deng Yang Hua Haibing Guan Shi Han Dongmei Zhang CML 41 0 0 15 Feb 2025
ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning Vy Vo Lizhen Qu Tao Feng Yuncheng Hua Xiaoxi Kang Songhai Fan Tim Dwyer Lay-Ki Soon Gholamreza Haffari 78 0 0 12 Feb 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 33 0 0 28 Jan 2025
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data M. Asres C. Omlin the CMS-HCAL Collaboration 64 0 0 16 Dec 2024
Anwendung von Causal-Discovery-Algorithmen zur Root-Cause-Analyse in der Fahrzeugmontage Lucas Possner Lukas Bahr L. Roehl Christoph Wehner Sophie Groeger CML 27 1 0 23 Jul 2024
ExDAG: Exact learning of DAGs Pavel Rytír Ales Wodecki Jakub Marecek CML 25 1 0 21 Jun 2024
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework Wei Zhou Hong Huang Guowen Zhang Ruize Shi Kehan Yin Yuanyuan Lin Bang Liu CML 31 1 0 07 Jun 2024
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research Andreas Sauter Erman Acar Aske Plaat SyDa CML 21 1 0 21 May 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity Wenrui Li Wei Zhang Qinghao Zhang Xuegong Zhang Xiaowo Wang 21 0 0 14 May 2024
Inference of Causal Networks using a Topological Threshold Filipe Barroso Diogo Gomes Gareth J. Baxter 16 0 0 21 Apr 2024
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation Roger Pros Jordi Vitrià CML 18 0 0 18 Apr 2024
FiP: a Fixed-Point Approach for Causal Generative Modeling M. Scetbon Joel Jennings Agrin Hilmkil Cheng Zhang Chao Ma 27 2 0 10 Apr 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 41 1 0 22 Feb 2024
Variational DAG Estimation via State Augmentation With Stochastic Permutations Edwin V. Bonilla P. Elinas He Zhao Maurizio Filippone V. Kitsios Terry O'Kane CML 32 3 0 04 Feb 2024
Generalization of LiNGAM that allows confounding Joe Suzuki Tian-Le Yang 19 1 0 30 Jan 2024
Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer Narmada Naik Ayush Khandelwal Mohit Joshi Madhusudan Atre Hollis Wright ... Giridhar Mamidipudi Ganapati Srinivasa Carlo Bifulco B. Piening Kevin Matlock 80 4 0 13 Nov 2023
Learned Causal Method Prediction Shantanu Gupta Cheng Zhang Agrin Hilmkil OOD 20 2 0 07 Nov 2023
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice Damian Machlanski Spyridon Samothrakis Paul Clarke CML 12 1 0 27 Oct 2023
Causal-learn: Causal Discovery in Python Yujia Zheng Biwei Huang Wei Chen Joseph Ramsey Mingming Gong Ruichu Cai Shohei Shimizu Peter Spirtes Kun Zhang CML 13 64 0 31 Jul 2023
UPREVE: An End-to-End Causal Discovery Benchmarking System Suraj Jyothi Unni Paras Sheth Kaize Ding Huan Liu K. S. Candan CML 16 0 0 25 Jul 2023
A Causal Ordering Prior for Unsupervised Representation Learning Avinash Kori Pedro Sanchez Konstantinos Vilouras Ben Glocker Sotirios A. Tsaftaris BDL SSL CML 10 0 0 11 Jul 2023
Open problems in causal structure learning: A case study of COVID-19 in the UK Anthony C. Constantinou N. K. Kitson Yang Liu Kiattikun Chobtham Arian Hashemzadeh Praharsh Nanavati R. Mbuvha Bruno Petrungaro CML 13 9 0 05 May 2023
Optimizing Data-driven Causal Discovery Using Knowledge-guided Search Uzma Hasan Md. Osman Gani CML 17 2 0 11 Apr 2023
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models Alexander G. Reisach Myriam Tami C. Seiler Antoine Chambaz S. Weichwald CML 14 19 0 31 Mar 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 13 24 0 27 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 16 23 0 14 Feb 2023
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS Jawad Chowdhury Rezaur Rashid G. Terejanu CML 10 9 0 04 Jan 2023
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 20 3 0 24 Oct 2022
Learning Multiscale Non-stationary Causal Structures Gabriele DÁcunto G. D. F. Morales P. Bajardi Francesco Bonchi CML AI4TS 24 3 0 31 Aug 2022
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods Giovanni Menegozzo Diego DallÁlba Paolo Fiorini 13 4 0 02 Aug 2022
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation Jonas Seng Matej Zečević D. Dhami Kristian Kersting CML 12 3 0 14 Jun 2022
FedDAG: Federated DAG Structure Learning Erdun Gao Junjia Chen Li Shen Tongliang Liu Mingming Gong H. Bondell FedML 29 17 0 07 Dec 2021
Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms Felix L. Rios G. Moffa Jack Kuipers CML 16 12 0 08 Jul 2021
On Low Rank Directed Acyclic Graphs and Causal Structure Learning Zhuangyan Fang Shengyu Zhu Jiji Zhang Yue Liu Zhitang Chen Yangbo He CML 8 26 0 10 Jun 2020
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 75 116 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 254 0 29 Sep 2019
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 202 628 0 20 Feb 2013