Abstract: Binary function embedding models are applicable to various downstream tasks within IoT device software systems and have demonstrated advantages in numerous binary analysis tasks, such as ...

The functions in the vec2d.math library are self-explanatory. Vectors are represented and tuples with int or float components. The vec2d.graph is a helper library for graphing related capabilities for ...

Abstract: Cyclic peptides become attractive therapeutic candidates due to their diverse biological activities. However, existing deep learning-based sequence design models, such as ProteinMPNN, are ...

This monthly journal, published since 1900, is devoted entirely to research in pure and applied mathematics, and, in general, includes longer papers than those in the Proceedings of the American ...

This repository contains the complete capstone project that focuses on utilizing transformers to extract structure information from multi-sequences in order to enhance function learning. The project ...