Abstract: Machine learning (ML) models are widely used in many important domains. For efficiently processing these computational- and memory-intensive applications, tensors of these overparameterized ...

CR-Sparse is a Python library that enables efficiently solving a wide variety of sparse representation based signal processing problems. It is a cohesive collection of sub-libraries working together.

Abstract: In this paper, we develop a general framework of multi-frequency sparse array to estimate the direction-of-arrival (DOA) of a significantly higher number of targets than the number of ...

LessIsMore is a novel sparse attention mechanism that dramatically improves the efficiency of large reasoning models without sacrificing accuracy. The key insight is that existing sparse attention ...

Review - Saborus is a unique, thought-provoking horror adventure that deserves credit for its premise, but struggles to fully ...