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Causal Relationship

Causal relationship research aims to understand and model cause-and-effect relationships within complex systems, moving beyond simple correlations. Current research focuses on developing algorithms and models, such as Bayesian networks, that can effectively learn causal structures from observational and interventional data, often incorporating expert knowledge or handling high-dimensional and incomplete datasets. These advancements are crucial for improving decision-making in various fields, including healthcare, finance, and robotics, by enabling more accurate predictions and interventions based on a deeper understanding of underlying causal mechanisms. The development of robust benchmarking frameworks further enhances the reliability and reproducibility of causal discovery methods.

130papers

Papers

April 2, 2025

Identifying Macro Causal Effects in C-DMGs
Simon Ferreira, Charles K. Assaad
Sorbonne Université
Causal Relationship Causal Graph Causal Effect Causal Effect Identification Causal Inference

March 21, 2025

Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
Khadija Zanna, Akane Sano
Rice University
Causal Graph Active Learning Causal Discovery Causal Relationship

March 19, 2025

How Well Can AI Build SD Models?
William Schoenberg, Davidson Girard, Saras Chung, Ellen O'Neill, Janet Velasquez, Sara Metcalf
iseesystems●skipdesigned●buffalo
Causal Pattern Causal Relationship System Dynamic AI Ecosystem

March 18, 2025

Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients
Ana Esponera (1)+1
Amsterdam University Medical Center●University of Amsterdam
Causal Structure Learning Glucose Prediction Causal Model Causal Event Causal Abstraction Interpretable Neural Network Type 2 Diabetes Causal Relationship Causal Direction

March 11, 2025

March 9, 2025

Causal Discovery and Inference towards Urban Elements and Associated Factors
Tao Feng, Yunke Zhang, Xiaochen Fan, Huandong Wang, Yong Li
Tsinghua University●Institute for Electronics and Information Technology in Tianjin
Causal Discovery Causal Relationship Urban Environment Causal Graph Key Factor Scientific Inference

March 6, 2025

Large Language Models for Zero-shot Inference of Causal Structures in Biology
Izzy Newsham, Luka Kovačević, Richard Moulange, Nan Rosemary Ke, Sach Mukherjee
University of Cambridge●DeepMind●Mila●DZNE & University of Bonn
Causal Structure Causal Relationship Causal Network Zero Shot Causal Learning

March 3, 2025

Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension
Sakiko Yahata, Zhen Wan, Fei Cheng, Sadao Kurohashi, Hisahiko Sato, Ryozo Nagai
Kyoto University●Precision Inc.●Jichi Medical University
Causal Relationship Causal Direction Clinical Note Causal Forest Novel Task Causality Extraction Relation Extraction

February 22, 2025

A Review of Causal Decision Making
Lin Ge, Hengrui Cai, Runzhe Wan, Yang Xu, Rui Song
Amazon●Irvine●North Carolina State University
Causal Structure Causal Direction Causal Reinforcement Learning Causal Relationship Narrative Review Decision Theory

February 18, 2025

The Relationship Between Head Injury and Alzheimer's Disease: A Causal Analysis with Bayesian Networks
Andrei Lixandru
Radboud University
Causal Relationship General Analysis Dementia Risk Causal Model Alzheimer'S Disease Causal Event Clinical Note Bayesian Network

February 13, 2025

Modeling Time-evolving Causality over Data Streams
Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai
Data Stream Causal Relation Causal Pattern Coevolutionary Algorithm Causal Relationship

February 11, 2025

Causal Additive Models with Unobserved Causal Paths and Backdoor Paths
Thong Pham, Takashi Nicholas Maeda, Shohei Shimizu
Causal Event Unobserved Variable Generalized Additive Model Causal Direction Causal Relationship Causal Discovery

January 17, 2025

SpaceTime: Causal Discovery from Non-Stationary Time Series
Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken
Causal Discovery Causal Graph Discovery Causal Graph Causal Relationship Non Stationary Time Series Invariant Causal

January 10, 2025

Covariate Dependent Mixture of Bayesian Networks
Roman Marchant, Dario Draca, Gilad Francis, Sahand Assadzadeh, Mathew Varidel, Frank Iorfino, Sally Cripps
Network Structure Bayesian Network Causal Relationship

January 4, 2025

Guiding Treatment Strategies: The Role of Adjuvant Anti-Her2 Neu Therapy and Skin/Nipple Involvement in Local Recurrence-Free Survival in Breast Cancer Patients
Joe Omatoi, Abdul M Mohammed, Dennis Trujillo
Cancer Dataset Causal Inference Free Survival Breast Tissue Causal Relationship Breast Lesion

December 21, 2024

From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations
Shan Shan
Actual Cause Total Correlation Causal Structure Discovery LLM Explanation Causal Analysis Causal Inference Causal Relationship

December 18, 2024

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
Eleni Sgouritsa, Virginia Aglietti, Yee Whye Teh, Arnaud Doucet, Arthur Gretton, Silvia Chiappa
Actual Cause Causal Discovery Causal Relationship Prompting Strategy Causal Discovery Algorithm Causal Query Total Correlation

December 16, 2024

Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective
Zhenyu Wang, Yifan Hu, Peter Bühlmann, Zijian Guo
Causal Discovery Causal Model General Nonconvex Causal Direction Causal Relationship Invariant Causal Feature

December 13, 2024

Do Large Language Models Show Biases in Causal Learning?
Maria Victoria Carro, Francisca Gauna Selasco, Denise Alejandra Mester, Margarita Gonzales, Mario A. Leiva, Maria Vanina Martinez, Gerardo I. Simari
Causal Learning Causal Inference Causal Relationship Topic Bias