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Efficient Neural Causal Discovery without Acyclicity Constraints

22 July 2021

Papers citing "Efficient Neural Causal Discovery without Acyclicity Constraints"

50 / 54 papers shown

Title
Can Large Language Models Help Experimental Design for Causal Discovery? Junyi Li Yongqiang Chen Chenxi Liu Qianyi Cai Tongliang Liu Bo Han Kun Zhang Hui Xiong CML 93 2 0 03 Mar 2025
IGDA: Interactive Graph Discovery through Large Language Model Agents Alex Havrilla David Alvarez-Melis Nicolò Fusi AI4CE 123 0 0 24 Feb 2025
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery Mateusz Olko Mateusz Gajewski Joanna Wojciechowska Mikołaj Morzy Piotr Sankowski Piotr Miłoś CML 102 0 0 22 Feb 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 77 0 0 15 Feb 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 157 0 0 28 Jan 2025
LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs -- Evaluation through Synthetic Data Generation Tejumade Afonja Ivaxi Sheth Ruta Binkyte Waqar Hanif Thomas Ulas Matthias Becker Mario Fritz 113 3 0 21 Oct 2024
LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery Sujai Hiremath Promit Ghosal Kyra Gan CML 34 0 0 15 Oct 2024
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 123 2 0 08 Oct 2024
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto CML 68 1 0 03 Oct 2024
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing Minh Le Nguyen Mert R. Sabuncu 54 1 0 19 Sep 2024
Adapting to Shifting Correlations with Unlabeled Data Calibration Minh Le Nguyen Alan Q. Wang Heejong Kim Mert R. Sabuncu OOD 64 1 0 09 Sep 2024
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks Rujia Shen Boran Wang Chao Zhao Yi Guan Jingchi Jiang CML BDL AI4TS 82 0 0 15 Aug 2024
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees Qiu Chengbo Yang Kai CML 85 0 0 09 Aug 2024
Score matching through the roof: linear, nonlinear, and latent variables causal discovery Francesco Montagna P. M. Faller Patrick Bloebaum Elke Kirschbaum Francesco Locatello CML 153 1 0 26 Jul 2024
Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments Luka Kovacevic Izzy Newsham Sach Mukherjee John Whittaker CML 52 2 0 08 Jul 2024
PORCA: Root Cause Analysis with Partially Observed Data Chang Gong Di Yao Jin Wang Wenbin Li Lanting Fang Yongtao Xie Kaiyu Feng Peng Han Jingping Bi 102 4 0 08 Jul 2024
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows Nu Hoang Bao Duong Thin Nguyen 75 0 0 06 Jul 2024
Knockout: A simple way to handle missing inputs Minh Nguyen Batuhan K. Karaman Heejong Kim Alan Q. Wang Fengbei Liu M. Sabuncu OOD UQCV 73 2 0 30 May 2024
Demystifying amortized causal discovery with transformers Francesco Montagna Max Cairney-Leeming Dhanya Sridhar Francesco Locatello CML 122 1 0 27 May 2024
Predictive, scalable and interpretable knowledge tracing on structured domains Hanqi Zhou Robert Bamler Charley M. Wu Álvaro Tejero-Cantero AI4Ed 65 10 0 19 Mar 2024
Federated Causal Discovery from Heterogeneous Data Loka Li Ignavier Ng Gongxu Luo Erdun Gao Guan-Hong Chen Tongliang Liu Bin Gu Kun Zhang FedML 91 5 0 20 Feb 2024
Implicit Causal Representation Learning via Switchable Mechanisms Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley CML 142 0 0 16 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 82 4 0 04 Feb 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 131 7 0 02 Feb 2024
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning Andreas Sauter N. Botteghi Erman Acar Aske Plaat CML 75 4 0 30 Jan 2024
Stable Differentiable Causal Discovery Achille Nazaret Justin Hong Elham Azizi David M. Blei CML 104 10 0 17 Nov 2023
Diffusion Based Causal Representation Learning Amir Mohammad Karimi Mamaghan Andrea Dittadi Stefan Bauer Karl Henrik Johansson Francesco Quinzan CML DiffM 88 0 0 09 Nov 2023
Shortcuts for causal discovery of nonlinear models by score matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Francesco Locatello CML 81 3 0 22 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 113 11 0 17 Oct 2023
CoLiDE: Concomitant Linear DAG Estimation S. S. Saboksayr Gonzalo Mateos Mariano Tepper CML 77 5 0 04 Oct 2023
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery Yuxiao Cheng Ziqian Wang Tingxiong Xiao Qin Zhong J. Suo Kunlun He AI4TS CML 91 17 0 03 Oct 2023
Constraint-Free Structure Learning with Smooth Acyclic Orientations Riccardo Massidda Francesco Landolfi Martina Cinquini Davide Bacciu 78 6 0 15 Sep 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 77 31 0 16 Jun 2023
Discovering Dynamic Causal Space for DAG Structure Learning Fan Liu Wenchang Ma An Zhang Xiang Wang Yueqi Duan Tat-Seng Chua OOD CML 39 2 0 05 Jun 2023
DiscoGen: Learning to Discover Gene Regulatory Networks Nan Rosemary Ke Sara-Jane Dunn J. Bornschein Silvia Chiappa Mélanie Rey ... David Barrett M. Botvinick Anirudh Goyal Michael C. Mozer Danilo Jimenez Rezende BDL CML 48 5 0 12 Apr 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 123 31 0 27 Mar 2023
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman Chao Ma Agrin Hilmkil Joel Jennings Cheng Zhang CML AI4CE 93 10 0 22 Mar 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 82 5 0 06 Mar 2023
CUTS: Neural Causal Discovery from Irregular Time-Series Data Yuxiao Cheng Runzhao Yang Tingxiong Xiao Zongren Li J. Suo K. He Qionghai Dai OOD BDL AI4TS CML 73 28 0 15 Feb 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 86 11 0 27 Jan 2023
Deep Learning of Causal Structures in High Dimensions Kai Lagemann C. Lagemann B. Taschler S. Mukherjee CML BDL AI4CE 59 30 0 09 Dec 2022
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 125 2 0 24 Nov 2022
Federated Causal Discovery From Interventions Amin Abyaneh Nino Scherrer Patrick Schwab Stefan Bauer Bernhard Schölkopf Arash Mehrjou FedML 43 0 0 07 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 119 11 0 07 Nov 2022
A Meta-Reinforcement Learning Algorithm for Causal Discovery Andreas Sauter Erman Acar Vincent François-Lavet CML 106 19 0 18 Jul 2022
Variational Causal Dynamics: Discovering Modular World Models from Interventions Anson Lei Bernhard Schölkopf Ingmar Posner CML 57 9 0 22 Jun 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez Jan-Christian Hütter J. Pritchard Aviv Regev CML AI4CE 87 43 0 15 Jun 2022
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 67 31 0 13 Jun 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 80 8 0 09 Jun 2022
Active Bayesian Causal Inference Christian Toth Lars Lorch Christian Knoll Andreas Krause Franz Pernkopf Robert Peharz Julius von Kügelgen 83 27 0 04 Jun 2022