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Gradient-Based Neural DAG Learning

5 June 2019

Papers citing "Gradient-Based Neural DAG Learning"

50 / 188 papers shown

Title
Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data Prakhar Verma David Arbour Sunav Choudhary Harshita Chopra Arno Solin Atanu R. Sinha 10 0 0 19 Jun 2025
A multi-scale loss formulation for learning a probabilistic model with proper score optimisation Simon Lang Martin Leutbecher Pedro Maciel 103 0 0 12 Jun 2025
Causal Climate Emulation with Bayesian Filtering Sebastian Hickman Ilija Trajkovic Julia Kaltenborn Francis Pelletier Alex Archibald Yaniv Gurwicz Peer Nowack David Rolnick Julien Boussard 88 0 0 11 Jun 2025
Nonlinear Causal Discovery for Grouped Data Konstantin Göbler Tobias Windisch Mathias Drton CML 100 0 0 05 Jun 2025
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 199 1 0 17 Apr 2025
Analytic DAG Constraints for Differentiable DAG Learning Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu Mingming Gong Zhen Zhang Kun Zhang Anton van den Hengel Javen Qinfeng Shi CML 83 2 0 24 Mar 2025
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 187 8 0 13 Mar 2025
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox Mohamed Ghanem Masoud Moghani Pierre Barroso Benjamin Joffe Animesh Garg 162 0 0 06 Mar 2025
CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data Disheng Liu Yiran Qiao Wuche Liu Yiren Lu Yunlai Zhou Tuo Liang Yu Yin Jing Ma CML 3DV 105 1 0 06 Mar 2025
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery Mateusz Olko Mateusz Gajewski Joanna Wojciechowska Mikołaj Morzy Piotr Sankowski Piotr Miłoś CML 107 0 0 22 Feb 2025
CausalMan: A physics-based simulator for large-scale causality Nicholas Tagliapietra J. Luettin Lavdim Halilaj Moritz Willig Tim Pychynski Kristian Kersting CML 107 0 0 18 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 79 0 0 15 Feb 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 159 0 0 28 Jan 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Zhen Zhang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Kun Zhang CML 80 0 0 21 Jan 2025
Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Shixuan Liu Yanghe Feng Keyu Wu Guangquan Cheng Jincai Huang Zhong Liu CML 81 7 0 27 Dec 2024
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity Yixin Ren Huatian Zhang Yewei Xia Hao Zhang Jihong Guan Shuigeng Zhou 84 0 0 23 Dec 2024
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data M. Asres C. Omlin the CMS-HCAL Collaboration 119 0 0 16 Dec 2024
SPARTAN: A Sparse Transformer Learning Local Causation Anson Lei Bernhard Schölkopf Ingmar Posner 100 3 0 11 Nov 2024
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization Jawad Chowdhury G. Terejanu AI4CE BDL OOD OODD 113 0 0 09 Nov 2024
$Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond$ Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond Kaifeng Jin Ignavier Ng Kun Zhang Zhen Zhang 83 0 0 24 Oct 2024
Learning to refine domain knowledge for biological network inference Peiwen Li Menghua Wu CML 79 1 0 18 Oct 2024
Efficient Differentiable Discovery of Causal Order Mathieu Chevalley Arash Mehrjou Patrick Schwab 86 0 0 11 Oct 2024
Markov Equivalence and Consistency in Differentiable Structure Learning Chang Deng Kevin Bello Pradeep Ravikumar Bryon Aragam CML 150 0 0 08 Oct 2024
Ordering-Based Causal Discovery for Linear and Nonlinear Relations Zhuopeng Xu Yujie Li Cheng Liu Ning Gui 55 2 0 08 Oct 2024
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 125 2 0 08 Oct 2024
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees Qiu Chengbo Yang Kai CML 88 0 0 09 Aug 2024
B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance Performance and Efficiency Wenjing Zhang Wei Zhang Wenqing Hu Yifan Wang OffRL 57 0 0 21 Jul 2024
Scalable Variational Causal Discovery Unconstrained by Acyclicity Nu Hoang Bao Duong Thin Nguyen CML 97 0 0 06 Jul 2024
Standardizing Structural Causal Models Weronika Ormaniec Scott Sussex Lars Lorch Bernhard Schölkopf Andreas Krause CML 145 7 0 17 Jun 2024
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency Alan Nawzad Amin Andrew Gordon Wilson CML 111 1 0 13 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 80 1 0 07 Jun 2024
Demystifying amortized causal discovery with transformers Francesco Montagna Max Cairney-Leeming Dhanya Sridhar Francesco Locatello CML 122 1 0 27 May 2024
Argumentative Causal Discovery Fabrizio Russo Anna Rapberger Francesca Toni CML 75 1 0 18 May 2024
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More Fanchen Bu Hyeonsoo Jo Soo Yong Lee SungSoo Ahn Kijung Shin 111 5 0 14 May 2024
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition Inwoo Hwang Yunhyeok Kwak Yeon-Ji Song Byoung-Tak Zhang Sanghack Lee CML 40 7 0 12 May 2024
Position: Understanding LLMs Requires More Than Statistical Generalization Patrik Reizinger Szilvia Ujváry Anna Mészáros A. Kerekes Wieland Brendel Ferenc Huszár 130 16 0 03 May 2024
FiP: a Fixed-Point Approach for Causal Generative Modeling M. Scetbon Joel Jennings Agrin Hilmkil Cheng Zhang Chao Ma 116 3 0 10 Apr 2024
Optimal Transport for Structure Learning Under Missing Data Vy Vo He Zhao Trung Le Edwin V. Bonilla Dinh Q. Phung CML 123 4 0 23 Feb 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 153 1 0 22 Feb 2024
Embracing the black box: Heading towards foundation models for causal discovery from time series data Gideon Stein M. Shadaydeh Joachim Denzler CML AI4TS 61 2 0 14 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
Towards Causal Relationship in Indefinite Data: Baseline Model and New Datasets Hang Chen Xinyu Yang Keqing Du CML 76 2 0 16 Jan 2024
Boosting Causal Additive Models Maximilian Kertel Nadja Klein 76 0 0 12 Jan 2024
Is Knowledge All Large Language Models Needed for Causal Reasoning? Hengrui Cai Shengjie Liu Rui Song LRM ELM 119 13 0 30 Dec 2023
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model Naiyu Yin Tian Gao Yue Yu Qiang Ji CML 107 1 0 20 Dec 2023
Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework Fabrizio Russo Francesca Toni 89 0 0 18 Dec 2023
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph Tianqianjin Lin Kaisong Song Zhuoren Jiang Yangyang Kang Weikang Yuan Xurui Li Changlong Sun Cui Huang Xiaozhong Liu 82 6 0 10 Dec 2023
Multi-granularity Causal Structure Learning Jiaxuan Liang Jun Wang Guoxian Yu Shuyin Xia Guoyin Wang CML 21 2 0 09 Dec 2023
Federated Causality Learning with Explainable Adaptive Optimization Dezhi Yang Xintong He Jun Wang Guoxian Yu C. Domeniconi Jinglin Zhang FedML CML 67 7 0 09 Dec 2023
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 88 1 0 29 Nov 2023