39 citations · 69 across the 20 of their papers we have counts for
6 papers · 1 filter
Sparse Computations in Deep Learning Inference
Ioanna Tasou, Panagiotis Mpakos, Angelos Vlachos +25
The computational demands of modern Deep Neural Networks (DNNs) are immense and constantly growing. While training costs usually capture public attention, inference demands are als…
Spira: Exploiting Voxel Data Structural Properties for Efficient Sparse Convolution in Point Cloud Networks
Dionysios Adamopoulos, Anastasia Poulopoulou, Georgios Goumas +1
Sparse Convolution (SpC) powers 3D point cloud networks widely used in autonomous driving and augmented/virtual reality. SpC builds a kernel map that stores mappings between input…
Probabilistic Links Between Quantum Classification of Patterns of Boolean Functions and Hamming Distance
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This article investigates the probabilistic relationship between quantum classification of Boolean functions and their Hamming distance. By integrating concepts from quantum comput…
Quantum Shadows: The Dining Information Brokers
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This article introduces the innovative Quantum Dining Information Brokers Problem, presenting a novel entanglement-based quantum protocol to address it. The scenario involves i…
Quantum Classification Outside the Promised Class
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This paper studies the important problem of quantum classification of Boolean functions from a entirely novel perspective. Typically, quantum classification algorithms allow us to…
A Quantum Algorithm for the Classification of Patterns of Boolean Functions
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This paper introduces a novel quantum algorithm that is able to classify a hierarchy of classes of imbalanced Boolean functions. The fundamental characteristic of imbalanced Boolea…