{"total":20,"rows":[{"id":"2409.02772","title":"Unifying Causal Representation Learning with the Invariance Principle","created":"2024-09-04","cited_by_count":31,"area":null},{"id":"2412.01953","title":"The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications","created":"2024-12-02","cited_by_count":18,"area":null},{"id":"2502.06343","title":"Prediction-Powered Causal Inferences","created":"2025-02-10","cited_by_count":9,"area":null},{"id":"2504.13101","title":"Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research","created":"2025-04-17","cited_by_count":9,"area":null},{"id":"2501.12500","title":"Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis","created":"2025-01-21","cited_by_count":7,"area":null},{"id":"2410.06074","title":"Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning","created":"2024-10-08","cited_by_count":5,"area":null},{"id":"2502.20099","title":"Sanity Checking Causal Representation Learning on a Simple Real-World System","created":"2025-02-27","cited_by_count":5,"area":null},{"id":"2502.18377","title":"Mechanistic PDE Networks for Discovery of Governing Equations","created":"2025-02-25","cited_by_count":4,"area":null},{"id":"2509.17784","title":"Revealing Multimodal Causality with Large Language Models","created":"2025-09-22","cited_by_count":3,"area":null},{"id":"2603.14483","title":"Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention","created":"2026-03-15","cited_by_count":3,"area":null},{"id":"2602.05033","title":"Causal Representation Meets Stochastic Modeling under Generic Geometry","created":"2026-02-04","cited_by_count":2,"area":null},{"id":"2501.05844","title":"\"Cause\" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of \"Causal Machine Learning\"","created":"2025-01-10","cited_by_count":1,"area":null},{"id":"2509.19058","title":"Towards Causal Representation Learning with Observable Sources as Auxiliaries","created":"2025-09-23","cited_by_count":1,"area":null},{"id":"2510.02903","title":"Learning Explicit Single-Cell Dynamics Using ODE Representations","created":"2025-10-03","cited_by_count":1,"area":null},{"id":"2510.20884","title":"ROPES: Robotic Pose Estimation via Score-Based Causal Representation Learning","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2604.17568","title":"Diverse Dictionary Learning","created":"2026-04-19","cited_by_count":0,"area":null},{"id":"2605.22248","title":"No Epoch Like the Present: Robust Climate Emulation Requires Out-of-Distribution Generalisation","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2605.23470","title":"Learning Individual Dynamics from Sparse Cross-Sectional Snapshots","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2606.28228","title":"Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2609.37083","title":"Identifying ODEs from Unstructured Data with Causal Representation Learning","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}