6 citations · 11 across the 7 of their papers we have counts for
8 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…
Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective
Emilio Calvanese Strinati, George C. Alexandropoulos, Vincenzo Sciancalepore +15
The design of 6th Generation (6G) wireless networks points towards flexible connect-and-compute technologies capable to support innovative services and use cases. Targeting the 203…
Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation
Paolo Di Lorenzo, Simone Scardapane
We study distributed stochastic nonconvex optimization in multi-agent networks. We introduce a novel algorithmic framework for the distributed minimization of the sum of the expect…