7 papers
Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang +16
Fast Weight Programmers (FWPs) encode temporal dependencies through dynamically updated parameters rather than recurrent hidden states. Quantum FWPs (QFWPs) extend this idea with v…
Contextual Bandits for Resource-Constrained Devices using Probabilistic Learning
Marco Angioli, Kevin Johansson, Antonello Rosato +2
Contextual bandits (CB) are online sequential decision-making problems under partial feedback that underpin many adaptive services. There is a growing demand to deploy CB agents di…
How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
Nouhaila Innan, Antonello Rosato, Alberto Marchisio +1
Node embeddings act as the information interface for graph neural networks, yet their empirical impact is often reported under mismatched backbones, splits, and training budgets. T…
Efficient Hyperdimensional Computing with Modular Composite Representations
Marco Angioli, Christopher J. Kymn, Antonello Rosato +3
The modular composite representation (MCR) is a computing model that represents information with high-dimensional integer vectors using modular arithmetic. Originally proposed as a…
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems
Marco Angioli, Antonello Rosato, Marcello Barbirotta +3
Hyperdimensional Computing (HDC), also known as Vector Symbolic Architectures, is a computing paradigm that combines the strengths of symbolic reasoning with the efficiency and sca…
Hyperdimensional Computing for ADHD Classification using EEG Signals
Federica Colonnese, Antonello Rosato, Francesco Di Luzio +1
Following the recent interest in applying the Hyperdimensional Computing paradigm in medical context to power up the performance of general machine learning applied to biomedical d…