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09/05/2023
Generalized Simplicial Attention Neural Networks
The aim of this work is to introduce Generalized Simplicial Attention Ne...
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05/25/2023
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
Latent Graph Inference (LGI) relaxed the reliance of Graph Neural Networ...
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05/18/2023
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces
In this paper, we propose a novel algorithm for energy-efficient, low-la...
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03/20/2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
In this work we introduce a convolution operation over the tangent bundl...
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03/15/2023
RIS-Enabled Smart Wireless Environments: Deployment Scenarios, Network Architecture, Bandwidth and Area of Influence
Reconfigurable Intelligent Surfaces (RISs) constitute the key enabler fo...
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10/26/2022
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back
In this work we introduce a convolution operation over the tangent bundl...
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10/11/2022
Pooling Strategies for Simplicial Convolutional Networks
The goal of this paper is to introduce pooling strategies for simplicial...
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09/16/2022
Cell Attention Networks
Since their introduction, graph attention networks achieved outstanding ...
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08/02/2022
Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces
The technology of Reconfigurable Intelligent Surfaces (RISs) has lately ...
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07/16/2022
Multiscale Causal Structure Learning
The inference of causal structures from observed data plays a key role i...
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05/30/2022
Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links
The advent of Reconfigurable Intelligent Surfaces (RISs) in wireless com...
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04/13/2021
Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective
The design of 6th Generation (6G) wireless networks points towards flexi...
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07/13/2020
Distributed Graph Convolutional Networks
The aim of this work is to develop a fully-distributed algorithmic frame...
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04/30/2020
Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation
We study distributed stochastic nonconvex optimization in multi-agent ne...
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06/15/2017
Stochastic Training of Neural Networks via Successive Convex Approximations
This paper proposes a new family of algorithms for training neural netwo...
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10/24/2016