Enzo Tartaglione

According to our database, Enzo Tartaglione authored at least 62 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Debiasing surgeon: fantastic weights and how to find them.

Rémi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione

CoRR, 2024

Mini but Mighty: Finetuning ViTs with Mini Adapters.

Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Find the Lady: Permutation and Re-synchronization of Deep Neural Networks.

Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?

Victor Quétu, Enzo Tartaglione

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Disentangling private classes through regularization.

Enzo Tartaglione, Francesca Gennari, Victor Quétu, Marco Grangetto

Neurocomputing, October, 2023

Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke.

Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui

Frontiers Neuroinformatics, March, 2023

SCoTTi: Save Computation at Training Time with an adaptive framework.

Ziyu Lin, Enzo Tartaglione, Van-Tam Nguyen

CoRR, 2023

Weighted Ensemble Models Are Strong Continual Learners.

Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière

CoRR, 2023

Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint.

Aël Quélennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen

CoRR, 2023

Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation.

Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière

CoRR, 2023

Dodging the Sparse Double Descent.

Victor Quétu, Enzo Tartaglione

CoRR, 2023

Compressing Explicit Voxel Grid Representations: fast NeRFs become also small.

Chenxi Lola Deng, Enzo Tartaglione

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unified Measures for the Rate-Distortion-Latency Trade-off.

Melan Vijayaratnam, Marta Milovanovic, Marco Cagnazzo, Enzo Tartaglione, Giuseppe Valenzise

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Optimized preprocessing and Tiny ML for Attention State Classification.

Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results.

Van-Tam Nguyen, Enzo Tartaglione, Tuan Dinh

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

A round-trip journey in pruned artificial neural networks.

Andrea Bragagnolo, Enzo Tartaglione, Gianluca Dalmasso, Marco Grangetto

Proceedings of the Italia Intelligenza Artificiale, 2023

Learn How to Prune Pixels for Multi-View Neural Image-Based Synthesis.

Marta Milovanovic, Enzo Tartaglione, Marco Cagnazzo, Félix Henry

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Packed Ensembles for efficient uncertainty estimation.

Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unbiased Supervised Contrastive Learning.

Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dodging the Double Descent in Deep Neural Networks.

Victor Quétu, Enzo Tartaglione

Proceedings of the IEEE International Conference on Image Processing, 2023

Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble.

Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Sparse Double Descent in Vision Transformers: Real or Phantom Threat?

Victor Quétu, Marta Milovanovic, Enzo Tartaglione

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

A Differentiable Entropy Model for Learned Image Compression.

Alberto Presta, Attilio Fiandrotti, Enzo Tartaglione, Marco Grangetto

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets.

Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?

Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SCoTTi: Save Computation at Training Time with an adaptive framework.

Ziyu Li, Enzo Tartaglione, Van-Tam Nguyen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mining bias-target Alignment from Voronoi Cells.

Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

All Predictions Matter: an Online Video Prediction Approach.

Melan Vijayaratnam, Marco Cagnazzo, Giuseppe Valenzise, Enzo Tartaglione

Proceedings of the 11th European Workshop on Visual Information Processing, 2023

A Hitchhiker's Guide to White-Box Neural Network Watermarking Robustness.

Carl De Sousa Trias, Mihai Mitrea, Enzo Tartaglione, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri

Proceedings of the 11th European Workshop on Visual Information Processing, 2023

2022

SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks.

Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto

IEEE Trans. Neural Networks Learn. Syst., 2022

LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks.

Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto

Neural Networks, 2022

Disentangling private classes through regularization.

Enzo Tartaglione, Francesca Gennari, Marco Grangetto

CoRR, 2022

Unsupervised Learning of Unbiased Visual Representations.

Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto

CoRR, 2022

REM: Routing Entropy Minimization for Capsule Networks.

Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto

CoRR, 2022

To update or not to update? Neurons at equilibrium in deep models.

Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Rise of the Lottery Heroes: Why Zero-Shot Pruning is Hard.

Enzo Tartaglione

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

UniToBrain Dataset: A Brain Perfusion Dataset.

Daniele Perlo, Enzo Tartaglione, Umberto A. Gava, Federico D'Agata, Edwin Benninck, Mauro Bergui

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images.

Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Information Removal at the bottleneck in Deep Neural Networks.

Enzo Tartaglione

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures.

Marco Aldinucci, David Atienza, Federico Bolelli, Mónica Caballero, Iacopo Colonnelli, José Flich, Jon Ander Gómez, David González, Costantino Grana, Marco Grangetto, Simone Leo, Pedro López, Dana Oniga, Roberto Paredes, Luca Pireddu, Eduardo Quiñones, Tatiana Silva, Enzo Tartaglione, Marina Zapater

Proceedings of the Technologies and Applications for Big Data Value, 2022

2021

UniTOBrain.

Umberto A. Gava, Federico D'Agata, Edwin Bennink, Enzo Tartaglione, Daniele Perlo, Annamaria Vernone, Francesca Bertolino, Eleonora Ficiarà, Alessandro Cicerale, Fabrizio Pizzagalli, Caterina Guiot, Marco Grangetto, Mauro Bergui

Dataset, July, 2021

UNITOPATHO.

Luca Bertero, Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Paola Cassoni, Marco Grangetto, Attilio Fiandrotti, Alessandro Gambella, Luca Cavallo

Dataset, May, 2021

HEMP: High-order entropy minimization for neural network compression.

Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto

Neurocomputing, 2021

Dysplasia grading of colorectal polyps through CNN analysis of WSI.

Daniele Perlo, Enzo Tartaglione, Luca Bertero, Paola Cassoni, Marco Grangetto

CoRR, 2021

A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images.

Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto

CoRR, 2021

Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke.

Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Mauro Bergui

CoRR, 2021

Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images.

Daniele Perlo, Enzo Tartaglione, Paola Cassoni, Luca Bertero, Marco Grangetto

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

A Hitchhiker's Guide towards Transactive Memory System Modeling in Small Group Interactions.

Enzo Tartaglione, Béatrice Biancardi, Maurizio Mancini, Giovanna Varni

Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021

On the Role of Structured Pruning for Neural Network Compression.

Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading.

Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Bridging the gap between debiasing and privacy for deep learning.

Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Capsule Networks with Routing Annealing.

Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

EnD: Entangling and Disentangling Deep Representations for Bias Correction.

Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data.

Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto

CoRR, 2020

A non-discriminatory approach to ethical deep learning.

Enzo Tartaglione, Marco Grangetto

Proceedings of the 19th IEEE International Conference on Trust, 2020

Delving in the loss landscape to embed robust watermarks into neural networks.

Enzo Tartaglione, Marco Grangetto, Davide Cavagnino, Marco Botta

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima.

Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Take a Ramble into Solution Spaces for Classification Problems in Neural Networks.

Enzo Tartaglione, Marco Grangetto

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Post-synaptic Potential Regularization Has Potential.

Enzo Tartaglione, Daniele Perlo, Marco Grangetto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Learning sparse neural networks via sensitivity-driven regularization.

Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

On the role of synaptic stochasticity in training low-precision neural networks.

Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina

CoRR, 2017

2015

Communication Scheduling and Buslet Synthesis for Low-Interconnect HLS Designs.

Enzo Tartaglione, Shantanu Dutt

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015