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Author

Enzo Tartaglione

Observed names: TARTAGLIONE Enzo, Tartaglione, Enzo
Institutions: Télécom Paris, Centre National de la Recherche Scientifique, Université Paris-Saclay, Institut Polytechnique de Paris, Laboratoire Traitement et Communication de l’Information, University of Turin
Observed institutions: University of Verona, Télécom Paris, Centre National de la Recherche Scientifique, Politecnico di Torino, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, CEA Paris-Saclay - Etablissement de Saclay, Italian Institute of Technology, University of Illinois Chicago, Italian institute for Genomic Medicine, Institut Polytechnique de Paris, Laboratoire Traitement et Communication de l’Information, University of Turin
ORCID: 0000-0003-4274-8298
Observed ORCID: 0000-0003-4274-8298
OpenAlex ID: A5046851981
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data
2020 · Enzo Tartaglione, Carlo Alberto Barbano, et al. · International Journal of Environmental Research and Public Health · 211
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EnD: Entangling and Disentangling deep representations for bias correction
2021 · Tartaglione, Enzo, Barbano, Carlo Alberto, et al. · arXiv (Cornell University) · 81
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Compressing Explicit Voxel Grid Representations: fast NeRFs become also small
2023 · Chenxi Lola Deng, Enzo Tartaglione · IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 48
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Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading
2021 · Carlo Alberto Barbano, Daniele Perlo, et al. · Proceedings - International Conference on Image Processing · 47
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Delving in the loss landscape to embed robust watermarks into neural networks
2021 · Enzo Tartaglione, Marco Grangetto, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 36
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks
2021 · Enzo Tartaglione, Andrea Bragagnolo, et al. · Neural Networks · 30
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Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
2023 · Zhu Liao, Victor Quétu, et al. · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 28
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Role of Synaptic Stochasticity in Training Low-Precision Neural Networks
2018 · Carlo Baldassi, Federica Gerace, et al. · Physical Review Letters · 21
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SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks
2021 · Enzo Tartaglione, Andrea Bragagnolo, et al. · IEEE Transactions on Neural Networks and Learning Systems · 19
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Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke
2023 · Umberto A. Gava, Federico D’Agata, et al. · Frontiers in Neuroinformatics · 15
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Mini but Mighty: Finetuning ViTs with Mini Adapters
2024 · Imad Eddine Marouf, Enzo Tartaglione, et al. · IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 13
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Optimized preprocessing and Tiny ML for Attention State Classification
2023 · Yinghao Wang, Rémi Nahon, et al. · 13
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Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima
2020 · Tartaglione, Enzo, Bragagnolo, Andrea, et al. · arXiv (Cornell University) · 13
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Packed-Ensembles for Efficient Uncertainty Estimation
2022 · Laurent, Olivier, Lafage, Adrien, et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 12
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Weighted Ensemble Models Are Strong Continual Learners
2024 · Imad Eddine Marouf, Subhankar Roy, et al. · Lecture notes in computer science · 11
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A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images
2022 · Carlo Alberto Barbano, Enzo Tartaglione, et al. · Lecture notes in computer science · 9
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HEMP: High-order entropy minimization for neural network compression
2021 · Enzo Tartaglione, Stéphane Lathuilière, et al. · Neurocomputing · 9
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WiGNet: Windowed Vision Graph Neural Network
2025 · Gabriele Spadaro, Marco Grangetto, et al. · IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 8
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Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets
2023 · Gabriele Spadaro, Riccardo Renzulli, et al. · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 8
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On the Role of Structured Pruning for Neural Network Compression
2021 · Andrea Bragagnolo, Enzo Tartaglione, et al. · Proceedings - International Conference on Image Processing · 8
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Take a Ramble into Solution Spaces for Classification Problems in Neural Networks
2019 · Enzo Tartaglione, Marco Grangetto · Lecture notes in computer science · 8
A Differentiable Entropy Model for Learned Image Compression
2023 · Alberto Presta, Attilio Fiandrotti, et al. · Lecture notes in computer science · 7
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UniToBrain Dataset: A Brain Perfusion Dataset
2022 · Daniele Perlo, Enzo Tartaglione, et al. · Lecture notes in computer science · 7
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Bridging the gap between debiasing and privacy for deep learning
2021 · Carlo Alberto Barbano, Enzo Tartaglione, et al. · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 7
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EnD: Entangling and Disentangling deep representations for bias correction
2021 · Enzo Tartaglione, Carlo Alberto Barbano, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 7
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Works count: 134
Citation count: 833
H-index: 13
I10-index: 15
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