Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Nevertheless, there are minor applications of RMT to the network indeterminacy issue due to problems with analyzing inverse community matrix in large complex ecosystems (see below). Thus, we develop a ...

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...

Abstract: Sparse linear algebra kernels achieve sub-optimal performance due to their poor cache locality. Matrix reordering is an effective pre-processing optimization that improves cache locality and ...

In the conventional design, each RIS element configures and reflects its received signal independently of all other RIS elements, which results in a diagonal phase shift matrix. By contrast, we ...

But CCNY requires Calculus III as a prerequisite to Linear Algebra, and in my current schedule I don't think I can find the time or will to satisfy what seems to me a prerequisite of dubious relevance ...

This material is based upon work supported by the National Science Foundation under Grant Nos. 0634957 and 0915487. Any opinions, findings, and conclusions or recommendations expressed in this ...