Abstract: Enhancing power grid resilience through improved analysis and planning of Distributed Energy Resources is a key for power system planner. This paper explores the integration of Causal Loop ...

Abstract: Accurate causal discovery is of great significance for data-driven root cause diagnosis. For multivariate complex industrial processes, traditional methods rarely conduct causal discovery of ...

Generating synthetic datasets that accurately reflect real-world observational data is critical for evaluating causal estimators, but remains a challenging task. Existing generative methods offer a ...

ABSTRACT: Immune imprinting denotes a phenomenon where previous exposure to a viral antigen, through infection or vaccination, imprints that antigen in immunological memory. When the immune system is ...

We compare two methods to elicit graphs from people that represent the causal structure of common artifacts. One method asks participants to focus narrowly on local causal relations and is based on ...

Here's your look at Causal Loop in this announcement trailer for the upcoming narrative sci-fi puzzler game. Learn about the story and get a peek at gameplay from Causal Loop, which features an 'Echo ...

Causal Loop is a narrative puzzler that blends mind-bending mechanics with a rich science-fiction story about time, consequence, and survival. Solve intricate puzzles by using the unique “echo” ...

Causal Loop is a new first-person puzzler with a sci-fi setting from Mirebound, a team of ex-Blizzard developers. While there's been something of a resurgence in puzzle games as of late, Causal Loop ...