{"total":98,"rows":[{"id":"2103.02582","title":"D'ya like DAGs? A Survey on Structure Learning and Causal Discovery","created":"2021-03-03","cited_by_count":211,"area":null},{"id":"2102.11107","title":"Towards Causal Representation Learning","created":"2021-02-22","cited_by_count":209,"area":null},{"id":"2107.10098","title":"Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA","created":"2021-07-21","cited_by_count":160,"area":null},{"id":"2105.11839","title":"DiBS: Differentiable Bayesian Structure Learning","created":"2021-05-25","cited_by_count":106,"area":null},{"id":"2110.05428","title":"Learning Temporally Causal Latent Processes from General Temporal Data","created":"2021-10-11","cited_by_count":98,"area":null},{"id":"2205.12934","title":"Amortized Inference for Causal Structure Learning","created":"2022-05-25","cited_by_count":90,"area":null},{"id":"2302.11529","title":"Modular Deep Learning","created":"2023-02-22","cited_by_count":83,"area":null},{"id":"2107.10483","title":"Efficient Neural Causal Discovery without Acyclicity Constraints","created":"2021-07-22","cited_by_count":82,"area":null},{"id":"2106.03443","title":"Causal Influence Detection for Improving Efficiency in Reinforcement Learning","created":"2021-06-07","cited_by_count":71,"area":null},{"id":"2302.00615","title":"GFlowNets for AI-Driven Scientific Discovery","created":"2023-02-01","cited_by_count":63,"area":null},{"id":"2210.13647","title":"Temporally Disentangled Representation Learning","created":"2022-10-24","cited_by_count":61,"area":null},{"id":"2202.03418","title":"Diversify and Disambiguate: Learning From Underspecified Data","created":"2022-02-07","cited_by_count":56,"area":null},{"id":"2206.02013","title":"Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis","created":"2022-06-04","cited_by_count":55,"area":null},{"id":"2107.00848","title":"Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning","created":"2021-07-02","cited_by_count":53,"area":null},{"id":"2306.15764","title":"High Fidelity Image Counterfactuals with Probabilistic Causal Models","created":"2023-06-27","cited_by_count":53,"area":null},{"id":"2203.02016","title":"Interventions, Where and How? Experimental Design for Causal Models at Scale","created":"2022-03-03","cited_by_count":49,"area":null},{"id":"2206.01152","title":"Causal Structure Learning: a Combinatorial Perspective","created":"2022-06-02","cited_by_count":46,"area":null},{"id":"2106.07635","title":"Variational Causal Networks: Approximate Bayesian Inference over Causal Structures","created":"2021-06-14","cited_by_count":43,"area":null},{"id":"2109.02429","title":"Learning Neural Causal Models with Active Interventions","created":"2021-09-06","cited_by_count":40,"area":null},{"id":"2105.08710","title":"Fast and Slow Learning of Recurrent Independent Mechanisms","created":"2021-05-18","cited_by_count":36,"area":null},{"id":"2209.08025","title":"Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability","created":"2022-09-16","cited_by_count":36,"area":null},{"id":"2211.02763","title":"Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes","created":"2022-11-04","cited_by_count":30,"area":null},{"id":"2210.17283","title":"CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data","created":"2022-10-31","cited_by_count":29,"area":null},{"id":"2302.04178","title":"DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets","created":"2023-02-08","cited_by_count":27,"area":null},{"id":"2309.06629","title":"The Relational Bottleneck as an Inductive Bias for Efficient Abstraction","created":"2023-09-12","cited_by_count":27,"area":null},{"id":"2206.01665","title":"BaCaDI: Bayesian Causal Discovery with Unknown Interventions","created":"2022-06-03","cited_by_count":26,"area":null},{"id":"2210.06964","title":"Causality-driven Hierarchical Structure Discovery for Reinforcement Learning","created":"2022-10-13","cited_by_count":24,"area":null},{"id":"2102.10440","title":"Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models","created":"2021-02-20","cited_by_count":22,"area":null},{"id":"2203.02336","title":"Differentiable Causal Discovery Under Latent Interventions","created":"2022-03-04","cited_by_count":21,"area":null},{"id":"2405.01964","title":"Position: Understanding LLMs Requires More Than Statistical Generalization","created":"2024-05-03","cited_by_count":21,"area":null},{"id":"2212.04866","title":"Deep Learning of Causal Structures in High Dimensions","created":"2022-12-09","cited_by_count":20,"area":null},{"id":"2110.11875","title":"GeneDisco: A Benchmark for Experimental Design in Drug Discovery","created":"2021-10-22","cited_by_count":18,"area":null},{"id":"2402.18477","title":"Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes","created":"2024-02-28","cited_by_count":18,"area":null},{"id":"2102.03869","title":"Structured Sparsity Inducing Adaptive Optimizers for Deep Learning","created":"2021-02-07","cited_by_count":17,"area":null},{"id":"2112.03555","title":"FedDAG: Federated DAG Structure Learning","created":"2021-12-07","cited_by_count":17,"area":null},{"id":"2503.04363","title":"Causally Reliable Concept Bottleneck Models","created":"2025-03-06","cited_by_count":17,"area":null},{"id":"2204.05133","title":"On the link between conscious function and general intelligence in humans and machines","created":"2022-03-24","cited_by_count":16,"area":null},{"id":"2204.04606","title":"Towards efficient representation identification in supervised learning","created":"2022-04-10","cited_by_count":14,"area":null},{"id":"2202.04828","title":"Learning Latent Causal Dynamics","created":"2022-02-10","cited_by_count":13,"area":null},{"id":"2302.08635","title":"Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting","created":"2023-02-17","cited_by_count":13,"area":null},{"id":"2410.05890","title":"Ordering-Based Causal Discovery for Linear and Nonlinear Relations","created":"2024-10-08","cited_by_count":13,"area":null},{"id":"2211.14897","title":"Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions","created":"2022-11-27","cited_by_count":12,"area":null},{"id":"2403.09422","title":"Mitigating attribute amplification in counterfactual image generation","created":"2024-03-14","cited_by_count":12,"area":null},{"id":"2207.08457","title":"A Meta-Reinforcement Learning Algorithm for Causal Discovery","created":"2022-07-18","cited_by_count":11,"area":null},{"id":"2211.03374","title":"Deep Causal Learning: Representation, Discovery and Inference","created":"2022-11-07","cited_by_count":11,"area":null},{"id":"2503.01139","title":"Can Large Language Models Help Experimental Design for Causal Discovery?","created":"2025-03-03","cited_by_count":11,"area":null},{"id":"2111.07512","title":"Scalable Intervention Target Estimation in Linear Models","created":"2021-11-15","cited_by_count":10,"area":null},{"id":"2206.04620","title":"On the Generalization and Adaption Performance of Causal Models","created":"2022-06-09","cited_by_count":8,"area":null},{"id":"2411.10154","title":"Continuous Bayesian Model Selection for Multivariate Causal Discovery","created":"2024-11-15","cited_by_count":6,"area":null},{"id":"2602.08629","title":"CauScale: Neural Causal Discovery at Scale","created":"2026-02-09","cited_by_count":6,"area":null},{"id":"2210.13583","title":"Learning Latent Structural Causal Models","created":"2022-10-24","cited_by_count":5,"area":null},{"id":"2211.05551","title":"Causal Counterfactuals for Improving the Robustness of Reinforcement Learning","created":"2022-11-02","cited_by_count":5,"area":null},{"id":"2211.13715","title":"Trust Your $\\nabla$: Gradient-based Intervention Targeting for Causal Discovery","created":"2022-11-24","cited_by_count":5,"area":null},{"id":"2305.10091","title":"Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges","created":"2023-05-17","cited_by_count":5,"area":null},{"id":"2410.07013","title":"Causal Representation Learning in Temporal Data via Single-Parent Decoding","created":"2024-10-09","cited_by_count":5,"area":null},{"id":"2110.02395","title":"Causal Explanations of Structural Causal Models","created":"2021-10-05","cited_by_count":4,"area":null},{"id":"2403.03698","title":"Towards Controllable Time Series Generation","created":"2024-03-06","cited_by_count":4,"area":null},{"id":"2408.02679","title":"Visual Analysis of Multi-outcome Causal Graphs","created":"2024-07-31","cited_by_count":4,"area":null},{"id":"2204.00762","title":"Do learned representations respect causal relationships?","created":"2022-04-02","cited_by_count":3,"area":null},{"id":"2207.08192","title":"BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment","created":"2022-07-17","cited_by_count":3,"area":null},{"id":"2208.14989","title":"Learning Multiscale Non-stationary Causal Structures","created":"2022-08-31","cited_by_count":3,"area":null},{"id":"2210.15353","title":"Learning Discrete Directed Acyclic Graphs via Backpropagation","created":"2022-10-27","cited_by_count":3,"area":null},{"id":"2304.05823","title":"DiscoGen: Learning to Discover Gene Regulatory Networks","created":"2023-04-12","cited_by_count":3,"area":null},{"id":"2408.07545","title":"$\\chi$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains","created":"2024-08-14","cited_by_count":3,"area":null},{"id":"2506.17065","title":"Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises","created":"2025-06-20","cited_by_count":3,"area":null},{"id":"2107.05481","title":"Prequential MDL for Causal Structure Learning with Neural Networks","created":"2021-07-02","cited_by_count":2,"area":null},{"id":"2210.10256","title":"Causal Structure Learning with Recommendation System","created":"2022-10-19","cited_by_count":2,"area":null},{"id":"2305.11353","title":"Meta-learning for heterogeneous treatment effect estimation with closed-form solvers","created":"2023-05-19","cited_by_count":2,"area":null},{"id":"2306.10551","title":"Can predictive models be used for causal inference?","created":"2023-06-18","cited_by_count":2,"area":null},{"id":"2311.01412","title":"Causal Temporal Regime Structure Learning","created":"2023-11-02","cited_by_count":2,"area":null},{"id":"2404.02943","title":"Learning in Convolutional Neural Networks Accelerated by Transfer Entropy","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2410.05564","title":"Unsupervised Representation Learning from Sparse Transformation Analysis","created":"2024-10-07","cited_by_count":2,"area":null},{"id":"2505.01037","title":"Characterization and Learning of Causal Graphs from Hard Interventions","created":"2025-05-02","cited_by_count":2,"area":null},{"id":"2512.23408","title":"Probabilistic Modelling is Sufficient for Causal Inference","created":"2025-12-29","cited_by_count":2,"area":null},{"id":"2602.19131","title":"Test-Time Learning of Causal Structure from Interventional Data","created":"2026-02-22","cited_by_count":2,"area":null},{"id":"2207.05723","title":"Latent Variable Models for Bayesian Causal Discovery","created":"2022-07-12","cited_by_count":1,"area":null},{"id":"2211.03846","title":"Federated Causal Discovery From Interventions","created":"2022-11-07","cited_by_count":1,"area":null},{"id":"2301.11197","title":"Causal Graph Discovery from Self and Mutually Exciting Time Series","created":"2023-01-26","cited_by_count":1,"area":null},{"id":"2308.08148","title":"Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series","created":"2023-08-16","cited_by_count":1,"area":null},{"id":"2308.11819","title":"A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder","created":"2023-08-22","cited_by_count":1,"area":null},{"id":"2408.04819","title":"Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees","created":"2024-08-09","cited_by_count":1,"area":null},{"id":"2410.03380","title":"Identifying biological perturbation targets through causal differential networks","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2506.13803","title":"Causality in the human niche: lessons for machine learning","created":"2025-06-13","cited_by_count":1,"area":null},{"id":"2103.02405","title":"Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG","created":"2021-03-03","cited_by_count":0,"area":null},{"id":"2106.02600","title":"Causal Graph Discovery from Self and Mutually Exciting Time Series","created":"2021-06-04","cited_by_count":0,"area":null},{"id":"2208.01373","title":"DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction","created":"2022-08-02","cited_by_count":0,"area":null},{"id":"2208.11633","title":"On a Built-in Conflict between Deep Learning and Systematic Generalization","created":"2022-08-24","cited_by_count":0,"area":null},{"id":"2211.08243","title":"Neural Bayesian Network Understudy","created":"2022-11-15","cited_by_count":0,"area":null},{"id":"2211.11956","title":"A Short Survey of Systematic Generalization","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2301.11336","title":"Causal Structural Learning from Time Series: A Convex Optimization Approach","created":"2023-01-26","cited_by_count":0,"area":null},{"id":"2406.11501","title":"Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality","created":"2024-06-17","cited_by_count":0,"area":null},{"id":"2407.01749","title":"Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments","created":"2024-07-01","cited_by_count":0,"area":null},{"id":"2507.05412","title":"Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2509.01352","title":"Causal Sensitivity Identification using Generative Learning","created":"2025-09-01","cited_by_count":0,"area":null},{"id":"2511.02536","title":"Theoretical Guarantees for Causal Discovery on Large Random Graphs","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2603.12305","title":"HCP-DCNet: A Hierarchical Causal Primitive Dynamic Composition Network for Self-Improving Causal Understanding","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2605.19313","title":"A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.03251","title":"Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection","created":"2026-06-02","cited_by_count":0,"area":null}],"next_cursor":null}