Abstract: Widely adopted reconfigurable intelligent surface (RIS) beamforming schemes generally rely on estimating accurate channel state information (CSI) exploiting convex optimization algorithms, ...
The first comprehensive Lean 4 formalization of statistical learning theory, a machine-checked, reusable foundation for formalizing ML theory. SLT formalizes statistical learning theory in Lean 4 from ...
This repository aims to contain definitions and proofs of basic ideas in quantum information theory. Some major goals, in rough order of difficulty, would be ...
Exactly 200 years ago, a French engineer introduced an idea that would quantify the universe’s inexorable slide into decay. But entropy, as it’s currently understood, is less a fact about the world ...
Modern Mathematics is constructed rigorously through proofs, based on truths, which are either axioms or previously proven theorems. Thus, it is par excellence a model of rational inquiry. Links ...
An intensive, fast-paced summer school for predoctoral students to build mathematical intuitions and skills necessary to enter the fields of theoretical neuroscience and foundational machine learning ...
Objective To determine distinct trajectories of self-reported pain-related health status in rheumatoid arthritis (RA), their relationship with sociodemographic factors and medication use. Methods 988 ...
Convolution has a significant impact on many scientific disciplines, ranging from probability theory and harmonic analysis to information theory. Here, we introduce a framework to study quantum ...
The identities or bounds that relate information measures (e.g., the entropy and mutual information) and estimation measures (e.g., the minimum means square error ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results