A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

In this paper, we first establish a model of a uniform linear array (ULA) antenna, and build an array model of the coprime array based on this, and then use the high-order cumulant to expand the array ...

Specifically, we introduce Diffusion Gated Linear Attention Transformers (DiG), a simple, adoptable solution with minimal parameter overhead. We offer two variants, i,e, a plain and U-shape ...

One of the most impactful applications of MCP is its ability to connect AI coding assistants directly to developer tools.

Abstract: We consider the problem of estimating self-exciting generalized linear models from limited binary observations, where the history of the process serves as the covariate. We analyze the ...

OpenAI researchers reveal how their experimental model, devoid of any external aids, powered through hours-long proofs to earn a gold-medal score at the International Math Olympiad—and they ...

New model describes result of non-reciprocal interactions between two non-linear molecules by Manuel Maidorn, Max Planck Society edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...