243 citations · 247 across the 4 of their papers we have counts for
4 papers
MLIR-Smith: A Novel Random Program Generator for Evaluating Compiler Pipelines
Berke Ates, Filip Dobrosavljević, Theodoros Theodoridis +1
Compilers are essential for the performance and correct execution of software and hold universal relevance across various scientific disciplines. Despite this, there is a notable l…
Deriving Hematological Disease Classes Using Fuzzy Logic and Expert Knowledge: A Comprehensive Machine Learning Approach with CBC Parameters
Salem Ameen, Ravivarman Balachandran, Theodoros Theodoridis
In the intricate field of medical diagnostics, capturing the subtle manifestations of diseases remains a challenge. Traditional methods, often binary in nature, may not encapsulate…
Optimizing Deep Learning Models For Raspberry Pi
Salem Ameen, Kangaranmulle Siriwardana, Theo Theodoridis
Deep learning models have become increasingly popular for a wide range of applications, including computer vision, natural language processing, and speech recognition. However, the…
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis +6
Deep learning models with convolutional and recurrent networks are now ubiquitous and analyze massive amounts of audio, image, video, text and graph data, with applications in auto…