Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

High-performance KNN similarity functions in Python, optimized for sparse matrices information-retrieval collaborative-filtering recommender-systems knn similarity-matrix sparse-matrix-multiplication ...

Matrix inequalities and convex functions constitute a central theme in modern mathematical analysis, with far‐reaching implications across numerical analysis, optimisation, quantum information ...

In this paper, we consider Byzantine attack identification problem in coded computing for distributed matrix multiplication tasks. We propose locally testable codes which facilitate the efficient ...

in this file, i implemented llama3 from scratch, one tensor and matrix multiplication at a time. also, im going to load tensors directly from the model file that meta provided for llama3, you need to ...

In this paper, we propose a new approach based on replacing fast matrix multiplication with other variants and generalizations of matrix multiplication, ... including tensors which arise naturally as ...