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20152025
most citedBayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information

57 citations · 225 across the 22 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

eess.SP2022★ 1 cited

Jamming Source Localization Using Augmented Physics-Based Model

Andrea Nardin, Tales Imbiriba, Pau Closas

Monitoring interferences to satellite-based navigation systems is of paramount importance in order to reliably operate critical infrastructures, navigation systems, and a variety o…

cs.LG2022

Bayesian data fusion with shared priors

Peng Wu, Tales Imbiriba, Victor Elvira +1

The integration of data and knowledge from several sources is known as data fusion. When data is only available in a distributed fashion or when different sensors are used to infer…

physics.comp-ph2022★ 3 cited

Sample generation for the spin-fermion model using neural networks

Georgios Stratis, Phillip Weinberg, Tales Imbiriba +2

Quantum Monte-Carlo simulations of hybrid quantum-classical models such as the double exchange Hamiltonian require calculating the density of states of the quantum degrees of freed…

eess.SP2022★ 1 cited

Neural Network-based OFDM Receiver for Resource Constrained IoT Devices

Nasim Soltani, Hai Cheng, Mauro Belgiovine +10

Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are used for communication links in many current and emerging Internet of Things (IoT) applications, including the…

eess.IV2022

Online multi-resolution fusion of space-borne multispectral images

Haoqing Li, Bhavia Duvviri, Ricardo Borsoi +4

Satellite imaging has a central role in monitoring, detecting and estimating the intensity of key natural phenomena. One important feature of satellite images is the trade-off betw…

cs.LG2022★ 2 cited

Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering

Tales Imbiriba, Ahmet Demirkaya, Jindřich Duník +3

In this paper we present a hybrid neural network augmented physics-based modeling (APBM) framework for Bayesian nonlinear latent space estimation. The proposed APBM strategy allows…