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06/10/2023
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information
Recent advances in the field of intelligent robotic manipulation pursue ...
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05/04/2023
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS
This special session paper introduces the Horizon Europe NEUROPULS proje...
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03/19/2023
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks
Multitemporal hyperspectral unmixing (MTHU) is a fundamental tool in the...
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03/01/2023
On Parametric Misspecified Bayesian Cramér-Rao bound: An application to linear Gaussian systems
A lower bound is an important tool for predicting the performance that a...
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05/12/2022
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices
Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are us...
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04/13/2022
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering
In this paper we present a hybrid neural network augmented physics-based...
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05/05/2021
SemperFi: A Spoofer Eliminating GPS Receiver for UAVs
It is well-known that GPS is vulnerable to signal spoofing attacks. Alth...
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04/17/2021
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing
Autoencoder (AEC) networks have recently emerged as a promising approach...
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01/09/2020
Importance Gaussian Quadrature
Importance sampling (IS) and numerical integration methods are usually e...
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01/02/2020
