TARTAGLIONE, Enzo
TARTAGLIONE, Enzo
MATEMATICA "GIUSEPPE PEANO"
A Differentiable Entropy Model for Learned Image Compression
2023-01-01 Presta A.; Fiandrotti A.; Tartaglione E.; Grangetto M.
A non-discriminatory approach to ethical deep learning
2020-01-01 Tartaglione E.; Grangetto M.
A round-trip journey in pruned artificial neural networks
2023-01-01 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
2022-01-01 Barbano Carlo Alberto Maria; Tartaglione E.; Berzovini C.; Calandri M.; Grangetto M.
Applications of AI and HPC in the Health Domain
2022-01-01 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
2021-01-01 Barbano, Carlo Alberto; Tartaglione, Enzo; Grangetto, Marco
Capsule Networks with Routing Annealing
2021-01-01 Renzulli R.; Tartaglione E.; Fiandrotti A.; Grangetto M.
Compressing Explicit Voxel Grid Representations: fast NeRFs become also small
2023-01-01 Deng, Chenxi Lola; Tartaglione, Enzo
Delving in the loss landscape to embed robust watermarks into neural networks
2020-01-01 Tartaglione E.; Grangetto M.; Cavagnino D.; Botta M.
Disentangling private classes through regularization
2023-01-01 Tartaglione E.; Gennari F.; Quetu V.; Grangetto M.
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images
2021-01-01 Perlo D.; Tartaglione E.; Bertero L.; Cassoni P.; Grangetto M.
EnD: Entangling and Disentangling Deep Representations for Bias Correction
2021-01-01 Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
HEMP: High-order entropy minimization for neural network compression
2021-01-01 Tartaglione E.; Lathuiliere S.; Fiandrotti A.; Cagnazzo M.; Grangetto M.
Learning sparse neural networks via sensitivity-driven regularization
2018-01-01 Tartaglione E.; Fiandrotti A.; Lepsoy S.; Francini G.
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
2020-01-01 Enzo Tartaglione; Andrea Bragagnolo; Marco Grangetto; Skjalg Lepsoy
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks
2022-01-01 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
2023-01-01 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
2021-01-01 Bragagnolo, Andrea; Tartaglione, Enzo; Fiandrotti, Attilio; Grangetto, Marco
Post-synaptic Potential Regularization Has Potential
2019-01-01 Tartaglione, Enzo; Perlo, Daniele; Grangetto, Marco
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima
2020-01-01 Tartaglione E.; Bragagnolo A.; Grangetto M.
| 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. |