{"total":17,"rows":[{"id":"2205.12934","title":"Amortized Inference for Causal Structure Learning","created":"2022-05-25","cited_by_count":90,"area":null},{"id":"2204.04875","title":"Learning to Induce Causal Structure","created":"2022-04-11","cited_by_count":68,"area":null},{"id":"2303.10112","title":"Causal Discovery from Temporal Data: An Overview and New Perspectives","created":"2023-03-17","cited_by_count":43,"area":null},{"id":"2412.16577","title":"A Meta-Learning Approach to Bayesian Causal Discovery","created":"2024-12-21","cited_by_count":22,"area":null},{"id":"2110.00637","title":"ML4C: Seeing Causality Through Latent Vicinity","created":"2021-10-01","cited_by_count":11,"area":null},{"id":"2405.16924","title":"Demystifying amortized causal discovery with transformers","created":"2024-05-27","cited_by_count":11,"area":null},{"id":"2202.12813","title":"Causal discovery for observational sciences using supervised machine learning","created":"2022-02-25","cited_by_count":10,"area":null},{"id":"2402.09305","title":"Embracing the black box: Heading towards foundation models for causal discovery from time series data","created":"2024-02-14","cited_by_count":7,"area":null},{"id":"2412.10039","title":"Are you doing better than random guessing? A call for using negative controls when evaluating causal discovery algorithms","created":"2024-12-13","cited_by_count":5,"area":null},{"id":"2506.18285","title":"Learning Causal Graphs at Scale: A Foundation Model Approach","created":"2025-06-23","cited_by_count":4,"area":null},{"id":"2311.03989","title":"Learned Causal Method Prediction","created":"2023-11-07","cited_by_count":3,"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":"2410.03380","title":"Identifying biological perturbation targets through causal differential networks","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2503.01290","title":"ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder","created":"2025-03-03","cited_by_count":1,"area":null},{"id":"2402.07735","title":"Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism","created":"2024-02-12","cited_by_count":0,"area":null},{"id":"2507.20349","title":"From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery","created":"2025-07-27","cited_by_count":0,"area":null},{"id":"2609.37446","title":"Demistifying Data and Simulator Assumptions in Supervised Causal Discovery","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}