12 citations · 14 across the 6 of their papers we have counts for
6 papers
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back
Claudio Battiloro, Zhiyang Wang, Hans Riess +2
In this work we introduce a convolution operation over the tangent bundle of Riemannian manifolds exploiting the Connection Laplacian operator. We use the convolution to define tan…
Topological Slepians: Maximally Localized Representations of Signals over Simplicial Complexes
Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa
This paper introduces topological Slepians, i.e., a novel class of signals defined over topological spaces (e.g., simplicial complexes) that are maximally concentrated on the topol…
Pooling Strategies for Simplicial Convolutional Networks
Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo
The goal of this paper is to introduce pooling strategies for simplicial convolutional neural networks. Inspired by graph pooling methods, we introduce a general formulation for a…
Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees
Mattia Merluzzi, Claudio Battiloro, Paolo Di Lorenzo +1
Learning at the edge is a challenging task from several perspectives, since data must be collected by end devices (e.g. sensors), possibly pre-processed (e.g. data compression), an…
Simplicial Attention Neural Networks
L. Giusti, C. Battiloro, P. Di Lorenzo +2
The aim of this work is to introduce simplicial attention networks (SANs), i.e., novel neural architectures that operate on data defined on simplicial complexes leveraging masked s…
Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks
C. Battiloro, P. Di Lorenzo, P. Banelli +1
We study decentralized estimation of time-varying signals at a fusion center, when energy harvesting sensors transmit sampled data over rate-constrained links. We propose dynamic s…