At the core, information is only truly transmitted when the person receiving the intelligence enjoys a change in posterior ...

The iQRM Warm-Ups are short, half hour sessions that review the basics covered in iQRM. This is a tour of the foundational math without application. The seminar covers probability, the normal ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.

Physicists have derived a quantum version of Bayes’ rule, revealing how beliefs and probabilities update in the quantum realm with potential applications in computing and beyond. Credit: Shutterstock ...

We introduce a conditional pseudo-reversible normalizing flow (PR-NF) that directly learns conditional probability distributions from noisy physical models to efficiently quantify both forward and ...

Thanks for your contribution in this package! I am quite new in the Flow Matching field, and for my research I believe that I could utilize OT-CFM to perform the matching between two sets of gaussian ...

Copulas are statistical tools used to model and analyze the dependency structure between random variables, especially when their relationship is complex or non-linear. They help separate the marginal ...

Abstract: Pedestrian detection is an important task in computer vision, which is also an important part of intelligent transportation systems. For privacy protection, thermal images are widely used in ...

Structural biology, biochemistry, evolutionary biology, medicine, and drug development all require high-quality protein structures. Reliable tools for assessing structures remain essential to ensure ...

Impact Statement: Our research introduces a novel model that utilizes conditional density estimation to tackle the oversimplification issue in predicting students’ grades resulting from single value ...