Causal Pattern

Causal pattern research aims to identify and quantify cause-and-effect relationships within complex systems, moving beyond simple correlations to understand underlying mechanisms. Current research focuses on developing and applying methods like structural causal models, Granger causality, and various machine learning techniques (e.g., sparse regression, GNNs) to uncover causal patterns in diverse data types, including time series, tabular data, and even images. This work has significant implications for various fields, improving the reliability and interpretability of models in areas such as healthcare, agriculture, finance, and autonomous systems by enabling more robust predictions and informed decision-making.

Papers

August 24, 2023

Causal Parrots: Large Language Models May Talk Causality But Are Not Causal
Matej Zečević, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
Causal Inference Causal Model Causal Pattern Structural Causal Model Causal Event Causal Knowledge Non Causal

August 19, 2023

Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks
Ricardo Cannizzaro, Rhys Howard, Paulina Lewinska, Lars Kunze
Line by Line Explanation Scientific Inference Causal Model Causal Pattern Autonomous Drone Novel Causal Model Bayesian Causal Discovery

August 17, 2023

Uplift Modeling: from Causal Inference to Personalization
Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova, Javier Albert, Dmitri Goldenberg
Causal Inference Causal Effect Causal Pattern Uplift Modeling

August 10, 2023

A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 2009
Feng Li
Complex Reasoning Scientific Inference Causal Inference Time Series Forecasting Causal Effect Causal Pattern

July 31, 2023

Relation-First Modeling Paradigm for Causal Representation Learning toward the Development of AGI
Jia Li, Xiang Li
Development Activity Artificial General Intelligence Causal Relationship Causal Pattern Causal Representation Learning Relation Modeling Relation Specific Representation

July 26, 2023

Causal reasoning in typical computer vision tasks
Kexuan Zhang, Qiyu Sun, Chaoqiang Zhao, Yang Tang
Causal Pattern Computer Vision Task Causal Reasoning Underlying Causal Explanatory Paradigm

July 20, 2023

Graphs in State-Space Models for Granger Causality in Climate Science
Víctor Elvira, Émilie Chouzenoux, Jordi Cerdà, Gustau Camps-Valls
Graph Drawing State Space Model Causal Pattern Earth System Granger Causality Gaussian State Space Model

July 11, 2023

June 15, 2023

From Database Repairs to Causality in Databases and Beyond
Leopoldo Bertossi
Query Information Causal Pattern Counterfactual Reasoning Performance Score New Database Score Based Explanation

June 9, 2023

Causality between Sentiment and Cryptocurrency Prices
Lubdhak Mondal, Udeshya Raj, Abinandhan S, Began Gowsik S, Sarwesh P, Abhijeet Chandra
Causal Pattern Implicit Sentiment Topic Modeling Cryptocurrency Price Latent Topic Crypto Asset

May 31, 2023

Causal discovery for time series with constraint-based model and PMIME measure
Antonin Arsac, Aurore Lomet, Jean-Philippe Poli
Time Series Causal Discovery Causal Graph Multivariate Time Series Causal Pattern Causal Discovery Algorithm Constraint Model

May 28, 2023

Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data
Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva, Yujia Zheng, Preslav Nakov, Kun Zhang
Language Model Causal Discovery Causal Pattern Causal Discovery Method Multi Omics Data Causal Discovery Algorithm

May 19, 2023

A Measure-Theoretic Axiomatisation of Causality
Junhyung Park, Simon Buchholz, Bernhard Schölkopf, Krikamol Muandet
Causal Pattern Causal Convolution Probability Space Measure Theoretic

May 17, 2023

A Survey on Causal Discovery: Theory and Practice
Alessio Zanga, Fabio Stella
Timely Survey Causal Inference Theoretical Understanding Causal Discovery Causal Graph Causal Effect Practice Mode Causal Pattern

May 16, 2023

The Hardness of Reasoning about Probabilities and Causality
Benito van der Zander, Markus Bläser, Maciej Liśkiewicz
Complex Reasoning Causal Pattern Computational Complexity Hardness Result Relative Probability Satisfiability Problem Complexity Class Probabilistic Reasoning

May 10, 2023

The Compositional Structure of Bayesian Inference
Dylan Braithwaite, Jules Hedges, Toby St Clere Smithe
Bayesian Inference Causal Pattern Compositional Structure Compositional Operation Compositional Nature State Transformation

April 28, 2023

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kıcıman, Robert Ness, Amit Sharma, Chenhao Tan
Causal Graph Causal Pattern New Frontier Causal Reasoning Causal Discovery Task

April 23, 2023

Meaningful Causal Aggregation and Paradoxical Confounding
Yuchen Zhu, Kailash Budhathoki, Jonas Kuebler, Dominik Janzing
Causal Pattern Causal Relation Cause Effect Causal System Q Aggregation Non Confounding Covariates

April 11, 2023

Understanding Causality with Large Language Models: Feasibility and Opportunities
Cheng Zhang, Stefan Bauer, Paul Bennett, Jiangfeng Gao, Wenbo Gong, Agrin Hilmkil, Joel Jennings, Chao Ma, Tom Minka, Nick Pawlowski, James Vaughan
Large Language Model Emerging Opportunity Causal Pattern Task Feasibility Causal Knowledge Causal Query Causal Interpretation