GitHub

OpenASCE: A Python Package for End-to-End Large Scale Causal Learning

OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...
IEEE

Counterfactual Causal-Effect Intervention for Interpretable Medical Visual Question Answering

Abstract: Medical Visual Question Answering (VQA-Med) is a challenging task that involves answering clinical questions related to medical images. However, most current VQA-Med methods ignore the ...
Hosted on MSN

Causal Loop - Official Developer Gameplay Overview Trailer

Take a look at the Developer Gameplay Overview Trailer for Causal Loop, a narrative-driven first-person puzzle platformer adventure game developed by Mirebound Interactive. Players will get the ...
IEEE

Causal Intervention Is What Large Language Models Need for Spatio-Temporal Forecasting

Abstract: Spatio-temporal forecasting plays a crucial role in the dynamic perception of smart cities, such as traffic flow prediction, renewable energy forecasting, and load prediction. Its objective ...