GitHub

AERCA: Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery (ICLR 2025 Oral)

The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

How To Keep Humans In The Loop As AI Speeds Up Business Decisions

AI has the potential to accelerate operations, but this raises a new challenge: how to keep humans in the loop when AI can ...
Frontiers

Predicting Neural Activity: Understanding Brain Structure and Dynamics through Generative Modeling and Causal Analysis

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...
Amazon S3 on MSN

Imagine getting stuck in a time loop and reliving the same day

Do you ever wake up thinking, here we go again? Same stuff, different day? What many of us call "Groundhog Day" but ...
Frontiers

Drug shortage in South Korea: machine learning-based prediction models and analysis of duration and causal factors

1 College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea 2 College of Pharmacy, Sookmyung Women’s University, Seoul, Republic of Korea Background: Drug shortages remain a critical ...
GitHub

Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation

This code implements MMTraCE, a multimodal learning framework for traffic accident prediction and causal estimation. We propose a modeling framework that integrates visual encoders with graph neural ...
IEEE

CATOM: Causal Topology Map for Spatiotemporal Traffic Analysis With Granger Causality in Urban Areas

Abstract: The transportation network is an important element in an urban system that supports daily activities, enabling people to travel from one place to another. One of the key challenges is the ...
IEEE

Data-Driven Closed-Loop Reachability Analysis for Nonlinear Human-in-the-Loop Systems Using Gaussian Mixture Model

Abstract: This article presents data-driven algorithms to perform the reachability analysis of nonlinear human-in-the-loop (HITL) systems. Such systems require consideration of the human control ...
Scientific Research Publishing

6sigma (2024) Causal Loop Diagram in Systems Thinking. Everything to Know.

ABSTRACT: This paper applies the interdisciplinary framework of Earth System Science (ESS) to analyze the complex socio-ecological crisis facing the agricultural sector in the Hashemite Kingdom of ...