Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: This work considers a Poisson noise channel with an amplitude constraint. It is well-known that the capacity-achieving input distribution for this channel is discrete with finitely many ...

Abstract: Out-of-distribution (OOD) detection is related to the security and stability of deep learning models deployed in the real world. The existing OOD detection algorithms based on the neural ...