Pubblicazioni

Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits

2025 - NEURAL NETWORKS

Brucklacher, M.; Pezzulo, G.; Mannella, F.; Galati, G.; Pennartz, C. M. A.

Daydreaming Hopfield networks and their surprising effectiveness on correlated data

2025 - NEURAL NETWORKS

Serricchio, L.; Bocchi, D.; Chilin, C.; Marino, R.; Negri, M.; Cammarota, C.; Ricci-Tersenghi, F.

Hebbian dreaming for small datasets

2024 - NEURAL NETWORKS

Agliari, Elena; Alemanno, Francesco; Aquaro, Miriam; Barra, Adriano; Durante, Fabrizio; Kanter, Ido

Modeling failures in smart grids by a bilinear logistic regression approach

2024 - NEURAL NETWORKS

DE SANTIS, Enrico; Rizzi, Antonello

Regularization, early-stopping and dreaming: A Hopfield-like setup to address generalization and overfitting

2024 - NEURAL NETWORKS

Agliari, E.; Alemanno, F.; Aquaro, M.; Fachechi, A.

A topological description of loss surfaces based on Betti Numbers

2024 - NEURAL NETWORKS

Bucarelli, Maria Sofia; D'Inverno, Giuseppe Alessio; Bianchini, Monica; Scarselli, Franco; Silvestri, Fabrizio

Continual learning with invertible generative models

2023 - NEURAL NETWORKS

Pomponi, Jary; Scardapane, Simone; Uncini, Aurelio

An adaptive embedding procedure for time series forecasting with deep neural networks

2023 - NEURAL NETWORKS

Succetti, F.; Rosato, A.; Panella, M.

Drop edges and adapt. A fairness enforcing fine-tuning for graph neural networks

2023 - NEURAL NETWORKS

Spinelli, I.; Bianchini, R.; Scardapane, S.

HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

2023 - NEURAL NETWORKS

Islam, M. S.; Hasan, K. F.; Sultana, S.; Uddin, S.; Lio, P.; Quinn, J. M. W.; Moni, M. A.

The emergence of a concept in shallow neural networks

2022 - NEURAL NETWORKS

Agliari, Elena; Alemanno, Francesco; Barra, Adriano; De Marzo, Giordano

A Reinforcement Meta-Learning framework of executive function and information demand

2022 - NEURAL NETWORKS

Silvetti, Massimo; Lasaponara, Stefano; Daddaoua, Nabil; Horan, Mattias; Gottlieb, Jacqueline

SIRe-Networks: Convolutional neural networks architectural extension for information preservation via skip/residual connections and interlaced auto-encoders

2022 - NEURAL NETWORKS

Avola, D.; Cinque, L.; Fagioli, A.; Foresti, G. L.

On the effective initialisation for restricted Boltzmann machines via duality with Hopfield model

2021 - NEURAL NETWORKS

Leonelli, F. E.; Agliari, E.; Albanese, L.; Barra, A.

Structured ensembles. An approach to reduce the memory footprint of ensemble methods

2021 - NEURAL NETWORKS

Pomponi, J.; Scardapane, S.; Uncini, A.

Generalized Guerraâs interpolation schemes for dense associative neural networks

2020 - NEURAL NETWORKS

Agliari, Elena; Alemanno, Francesco; Barra, Adriano; Fachechi, Alberto

A spiking neural network-based long-term prediction system for biogas production

2020 - NEURAL NETWORKS

Capizzi, Giacomo; Lo Sciuto, Grazia; Napoli, Christian; Susi, Gianluca; WoÅºniak, Marcin

Missing data imputation with adversarially-trained graph convolutional networks

2020 - NEURAL NETWORKS

Spinelli, I; Scardapane, S; Uncini, A

Dreaming neural networks: Forgetting spurious memories and reinforcing pure ones

2019 - NEURAL NETWORKS

Fachechi, Alberto; Agliari, Elena; Barra, Adriano

Kafnets: Kernel-based non-parametric activation functions for neural networks

2019 - NEURAL NETWORKS

Scardapane, S.; Van Vaerenbergh, S.; Totaro, S.; Uncini, A.

Effect of dilution in asymmetric recurrent neural networks

2018 - NEURAL NETWORKS

Folli, Viola; Gosti, Giorgio; Leonetti, Marco; Ruocco, Giancarlo

A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis

2018 - NEURAL NETWORKS

Beritelli, Francesco; Capizzi, Giacomo; Lo Sciuto, Grazia; Napoli, Christian; Wo Ìzniak, Marcin

A new mechanical approach to handle generalized Hopfield neural networks

2018 - NEURAL NETWORKS

Barra, A.; Beccaria, M.; Fachechi, A.

A framework for parallel and distributed training of neural networks

2017 - NEURAL NETWORKS

Scardapane, Simone; DI LORENZO, Paolo

Distributed semi-supervised support vector machines

2016 - NEURAL NETWORKS

Scardapane, Simone; Fierimonte, R.; Di Lorenzo, P.; Panella, Massimo; Uncini, Aurelio