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 Hitchhiker's Guide to White-Box Neural Network Watermarking Robustness
2023-01-01 De Sousa Trias C.; Mitrea M.; Tartaglione E.; Fiandrotti A.; Cagnazzo M.; Chaudhuri S.
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.
ALICE: Adapt your Learnable Image Compression modEl for variable bitrates
2024-01-01 Spadaro, Gabriele; Ali, Muhammad Salman; Presta, Alberto; Pilo, Giommaria; Bae, Sung-Ho; Giraldo, Jhony H.; Fiandrotti, Attilio; Grangetto, Marco; Tartaglione, Enzo
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.
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
2024-01-01 Di Sario F.; Renzulli R.; Tartaglione E.; Grangetto M.
Bridging the gap between debiasing and privacy for deep learning
2021-01-01 Barbano, Carlo Alberto; Tartaglione, Enzo; Grangetto, Marco
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
2023-01-01 Liao Z.; Quetu V.; Nguyen V.-T.; Tartaglione E.
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.
Domain Adaptation for Learned Image Compression with Supervised Adapters
2024-01-01 Presta A.; Spadaro G.; Tartaglione E.; Fiandrotti A.; Grangetto M.
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
2024-01-01 Quétu, Victor; Tartaglione, Enzo
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images
2022-01-01 Perlo D.; Tartaglione E.; Bertero L.; Cassoni P.; Grangetto M.
Efficient Progressive Image Compression with Variance-Aware Masking
2025-01-01 Presta A.; Tartaglione E.; Fiandrotti A.; Grangetto M.; Cosman P.
EnD: Entangling and Disentangling Deep Representations for Bias Correction
2021-01-01 Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks
2024-01-01 De Sousa Trias, Carl; Mitrea, Mihai Petru; Fiandrotti, Attilio; Cagnazzo, Marco; Chaudhuri, Sumanta; Tartaglione, Enzo
| 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 Hitchhiker's Guide to White-Box Neural Network Watermarking Robustness | 2023 | De Sousa Trias C.; Mitrea M.; Tartaglione E.; Fiandrotti A.; Cagnazzo M.; Chaudhuri S. | |
| 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. | |
| ALICE: Adapt your Learnable Image Compression modEl for variable bitrates | 2024 | Spadaro, Gabriele; Ali, Muhammad Salman; Presta, Alberto; Pilo, Giommaria; Bae, Sung-Ho; Giraldo, Jhony H.; Fiandrotti, Attilio; Grangetto, Marco; Tartaglione, Enzo | |
| 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. | |
| Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering | 2024 | Di Sario F.; Renzulli R.; Tartaglione E.; Grangetto M. | |
| Bridging the gap between debiasing and privacy for deep learning | 2021 | Barbano, Carlo Alberto; Tartaglione, Enzo; Grangetto, Marco | |
| Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? | 2023 | Liao Z.; Quetu V.; Nguyen V.-T.; Tartaglione E. | |
| 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. | |
| Domain Adaptation for Learned Image Compression with Supervised Adapters | 2024 | Presta A.; Spadaro G.; Tartaglione E.; Fiandrotti A.; Grangetto M. | |
| DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? | 2024 | Quétu, Victor; Tartaglione, Enzo | |
| Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images | 2022 | Perlo D.; Tartaglione E.; Bertero L.; Cassoni P.; Grangetto M. | |
| Efficient Progressive Image Compression with Variance-Aware Masking | 2025 | Presta A.; Tartaglione E.; Fiandrotti A.; Grangetto M.; Cosman P. | |
| EnD: Entangling and Disentangling Deep Representations for Bias Correction | 2021 | Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto | |
| Find the Lady: Permutation and Re-synchronization of Deep Neural Networks | 2024 | De Sousa Trias, Carl; Mitrea, Mihai Petru; Fiandrotti, Attilio; Cagnazzo, Marco; Chaudhuri, Sumanta; Tartaglione, Enzo |