TARTAGLIONE, Enzo

TARTAGLIONE, Enzo  

MATEMATICA "GIUSEPPE PEANO"  

Mostra records
Risultati 1 - 20 di 32 (tempo di esecuzione: 0.03 secondi).
Titolo Data di pubblicazione Autore(i) File
A Differentiable Entropy Model for Learned Image Compression 2023 Presta A.; Fiandrotti A.; Tartaglione E.; Grangetto M.
A non-discriminatory approach to ethical deep learning 2020 Tartaglione E.; Grangetto M.
A round-trip journey in pruned artificial neural networks 2023 Bragagnolo A.; Tartaglione E.; Dalmasso G.; Grangetto M.
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images 2022 Barbano Carlo Alberto Maria; Tartaglione E.; Berzovini C.; Calandri M.; Grangetto M.
Applications of AI and HPC in the Health Domain 2022 Oniga D.; Cantalupo B.; Tartaglione E.; Perlo D.; Grangetto M.; Aldinucci M.; Bolelli F.; Pollastri F.; Cancilla M.; Canalini L.; Grana C.; Alcalde C.M.; Cardillo F.A.; Florea M.
Bridging the gap between debiasing and privacy for deep learning 2021 Barbano, Carlo Alberto; Tartaglione, Enzo; Grangetto, Marco
Capsule Networks with Routing Annealing 2021 Renzulli R.; Tartaglione E.; Fiandrotti A.; Grangetto M.
Compressing Explicit Voxel Grid Representations: fast NeRFs become also small 2023 Deng, Chenxi Lola; Tartaglione, Enzo
Delving in the loss landscape to embed robust watermarks into neural networks 2020 Tartaglione E.; Grangetto M.; Cavagnino D.; Botta M.
Disentangling private classes through regularization 2023 Tartaglione E.; Gennari F.; Quetu V.; Grangetto M.
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images 2021 Perlo D.; Tartaglione E.; Bertero L.; Cassoni P.; Grangetto M.
EnD: Entangling and Disentangling Deep Representations for Bias Correction 2021 Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
HEMP: High-order entropy minimization for neural network compression 2021 Tartaglione E.; Lathuiliere S.; Fiandrotti A.; Cagnazzo M.; Grangetto M.
Learning sparse neural networks via sensitivity-driven regularization 2018 Tartaglione E.; Fiandrotti A.; Lepsoy S.; Francini G.
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks 2020 Enzo Tartaglione; Andrea Bragagnolo; Marco Grangetto; Skjalg Lepsoy
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks 2022 Tartaglione, Enzo; Bragagnolo, Andrea; Fiandrotti, Attilio; Grangetto, Marco
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke 2023 Gava, Umberto A; D'Agata, Federico; Tartaglione, Enzo; Renzulli, Riccardo; Grangetto, Marco; Bertolino, Francesca; Santonocito, Ambra; Bennink, Edwin; Vaudano, Giacomo; Boghi, Andrea; Bergui, Mauro
On the Role of Structured Pruning for Neural Network Compression 2021 Bragagnolo, Andrea; Tartaglione, Enzo; Fiandrotti, Attilio; Grangetto, Marco
Post-synaptic Potential Regularization Has Potential 2019 Tartaglione, Enzo; Perlo, Daniele; Grangetto, Marco
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima 2020 Tartaglione E.; Bragagnolo A.; Grangetto M.