If you think our paper list is helpful, please Star⭐. Thanks! We will continue to update. Generated by DALL·E. We understand that Inference/Test Time Scaling/Computing is a broad field. If you feel ...

StatsPAI is a validation-tiered Python library for causal inference and applied econometrics. One import, 1,000+ registered functions across 80+ submodules (live count: python ...

This study presents a valuable advance for the analysis of gene expression variation at the level of individual cells by introducing a novel reference-free framework that can detect splicing, fusion, ...

Machine learning is increasingly used as an efficient substitute for traditional data collection when the latter is challenging. For example, predictions of conditions such as poverty, deforestation, ...

While a robust literature on the psychology of conspiracy theories has identified dozens of characteristics correlated with conspiracy theory beliefs, much less attention has been paid to ...

Concerns about the ethics of the use of artificial intelligence by militaries have insufficiently addressed the differences between the methods (algorithms) that such software provides. These methods ...

In this paper we investigate the active inference framework as a means to enable autonomous behavior in artificial agents. Active inference is a theoretical framework underpinning the way organisms ...

Since its emergence in late 2019, SARS-CoV-2 has rapidly spread across the world, prompting governments to enact restrictions on human mobility that are unprecedented on a global scale. While ...