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Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
Bayesian neural networks (BNNs) have been long considered an ideal, yet ...
12/04/2020 ∙ by Gianni Franchi, et al. ∙
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One Versus all for deep Neural Network Incertitude (OVNNI) quantification
Deep neural networks (DNNs) are powerful learning models yet their resul...
06/01/2020 ∙ by Gianni Franchi, et al. ∙
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TRADI: Tracking deep neural network weight distributions
During training, the weights of a Deep Neural Network (DNN) are optimize...
12/24/2019 ∙ by Gianni Franchi, et al. ∙
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Supervised Deep Kriging for Single-Image Super-Resolution
We propose a novel single-image super-resolution approach based on the g...
12/10/2018 ∙ by Gianni Franchi, et al. ∙
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Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings
We propose a novel approach for pixel classification in hyperspectral im...
05/30/2016 ∙ by Gianni Franchi, et al. ∙
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