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 for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

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, ...

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 ...

Although practically attractive with high prediction and classification power, complicated learning methods often lack interpretability and reproducibility, limiting their scientific usage. A useful ...

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 ...