Enzo Tartaglione

154 papers A* 13A 9B 9C 2Misc 1Journal 89Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models.
CoRR
Ivan Luiz De Moura Matos, Abdel Djalil Sad Saoud, Ekaterina Iakovleva, Vito Paolo Pastore, Enzo Tartaglione
2026 J jnl
Capsule networks do not need to model everything.
Pattern Recognit.
Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2026 A* conf
I-INR: Iterative Implicit Neural Representations.
AAAI
Ali Haider, Muhammad Salman Ali, Maryam Qamar, Tahir Khalil, Soo Ye Kim, Jihyong Oh, Enzo Tartaglione, Sung-Ho Bae
2026 J jnl
Layer Collapse Can be Induced by Unstructured Pruning.
Trans. Mach. Learn. Res.
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2026 J jnl
Nix and Fix: Targeting 1000x Compression of 3D Gaussian Splatting with Diffusion Models.
CoRR
Cem Eteke, Enzo Tartaglione
2026 J jnl
TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones.
Neurocomputing
Gabriele Spadaro, Andrea Bragagnolo, Riccardo Renzulli, Marco Grangetto, Jhony H. Giraldo, Attilio Fiandrotti, Enzo Tartaglione
2026 J jnl
Unified pipeline for generalized mental state detection using EEG signals.
Expert Syst. Appl.
Yinghao Wang, Rayan Elrawas, Anh-Dung Nguyen, Maxime Girard, Pavlo Mozharovskyi, Enzo Tartaglione, Van-Tam Nguyen
2025 A* conf
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning.
ICML
Le-Trung Nguyen, Aël Quélennec, Van-Tam Nguyen, Enzo Tartaglione
2025 J jnl
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning.
CoRR
Le-Trung Nguyen, Aël Quélennec, Van-Tam Nguyen, Enzo Tartaglione
2025 J jnl
Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions.
CoRR
Muhammad Salman Ali, Chaoning Zhang, Marco Cagnazzo, Giuseppe Valenzise, Enzo Tartaglione, Sung-Ho Bae
2025 A conf
Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates.
ICME
Gabriele Spadaro, Alberto Presta, Jhony H. Giraldo, Marco Grangetto, Wei Hu, Giuseppe Valenzise, Attilio Fiandrotti, Enzo Tartaglione
2025 J jnl
Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates.
CoRR
Gabriele Spadaro, Alberto Presta, Jhony H. Giraldo, Marco Grangetto, Wei Hu, Giuseppe Valenzise, Attilio Fiandrotti, Enzo Tartaglione
2025 J jnl
Diffusing DeBias: a Recipe for Turning a Bug into a Feature.
CoRR
Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino
2025 A conf
ELMGS: Enhancing Memory and Computation Scalability Through coMpression for 3D Gaussian Splatting.
WACV
Muhammad Salman Ali, Sung-Ho Bae, Enzo Tartaglione
2025 J jnl
Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space Applications.
CoRR
Leonardo Olivi, Edoardo Santero Mormile, Enzo Tartaglione
2025 A conf
Efficient Progressive Image Compression with Variance-Aware Masking.
WACV
Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto, Pamela C. Cosman
2025 J jnl
Efficient Resource-Constrained Training of Vision Transformers via Subspace Optimization.
CoRR
Le-Trung Nguyen, Enzo Tartaglione, Van-Tam Nguyen
2025 J jnl
FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance.
CoRR
Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Enzo Tartaglione
2025 J jnl
Feature-aware Hypergraph Generation via Next-Scale Prediction.
CoRR
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner, Jhony H. Giraldo
2025 J jnl
GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression.
CoRR
Francesco Di Sario, Riccardo Renzulli, Marco Grangetto, Akihiro Sugimoto, Enzo Tartaglione
2025 A* conf
HYGENE: A Diffusion-Based Hypergraph Generation Method.
AAAI
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner, Jhony H. Giraldo
2025 J jnl
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models.
CoRR
Nathan Roos, Ekaterina Iakovleva, Ani Gjergji, Vito Paolo Pastore, Enzo Tartaglione
2025 J jnl
I-INR: Iterative Implicit Neural Representations.
CoRR
Ali Haider, Muhammad Salman Ali, Maryam Qamar, Tahir Khalil, Soo Ye Kim, Jihyong Oh, Enzo Tartaglione, Sung-Ho Bae
2025 Misc conf
Improving Generative Data Augmentation with Prior-Knowledge for Dysplasia Grading of Colorectal Polyps.
ICIAP
Roberto Craparotta, Desislav Nikolaev Ivanov, Carlo Alberto Barbano, Enzo Tartaglione, Alessandro Gambella, Luca Cavallo, Paola Cassoni, Luca Bertero, Marco Grangetto
2025 J jnl
LayerFold: A Python library to reduce the depth of neural networks.
SoftwareX
Giommaria Pilo, Nour Hezbri, André Pereira e Ferreira, Victor Quétu, Enzo Tartaglione
2025 J jnl
Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization.
CoRR
Alaa Mazouz, Sumanta Chaudhuri, Marco Cagnazzo, Mihai Mitrea, Enzo Tartaglione, Attilio Fiandrotti
2025 J jnl
Memory Constrained Dynamic Subnetwork Update for Transfer Learning.
CoRR
Aël Quélennec, Pavlo Mozharovskyi, Van-Tam Nguyen, Enzo Tartaglione
2025 B conf
Neural Velocity for hyperparameter tuning.
IJCNN
Gianluca Dalmasso, Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2025 J jnl
Neural Velocity for hyperparameter tuning.
CoRR
Gianluca Dalmasso, Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2025 J jnl
No Images, No Problem: Retaining Knowledge in Continual VQA with Questions-Only Memory.
CoRR
Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière, Joost van de Weijer
2025 J jnl
RAVE: Rate-Adaptive Visual Encoding for 3D Gaussian Splatting.
CoRR
Hoang-Nhat Tran, Francesco Di Sario, Gabriele Spadaro, Giuseppe Valenzise, Enzo Tartaglione
2025 J jnl
STanH: Parametric Quantization for Variable Rate Learned Image Compression.
IEEE Trans. Image Process.
Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2025 J jnl
Say My Name: a Model's Bias Discovery Framework.
Trans. Mach. Learn. Res.
Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione
2025 J jnl
Security and Real-time FPGA integration for Learned Image Compression.
CoRR
Alaa Mazouz, Carl De Sousa Trias, Sumanta Chaudhuri, Attilio Fiandrotti, Marco Cagnazzo, Mihai Mitrea, Enzo Tartaglione
2025 J jnl
Study of Training Dynamics for Memory-Constrained Fine-Tuning.
CoRR
Aël Quélennec, Nour Hezbri, Pavlo Mozharovskyi, Van-Tam Nguyen, Enzo Tartaglione
2025 J jnl
The silence of the weights: an investigation of structural pruning strategies for attention-based audio signal architectures.
CoRR
Andrea Diecidue, Carlo Alberto Barbano, Piero Fraternali, Mathieu Fontaine, Enzo Tartaglione
2025 A* conf
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
AAAI
Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2025 J jnl
Unsupervised Learning of Unbiased Visual Representations.
IEEE Trans. Artif. Intell.
Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
2025 A conf
WiGNet: Windowed Vision Graph Neural Network.
WACV
Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo
2024 C conf
ALICE: Adapt your Learnable Image Compression modEl for variable bitrates.
VCIP
Gabriele Spadaro, Muhammad Salman Ali, Alberto Presta, Giommaria Pilo, Sung-Ho Bae, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione
2024 A* conf
Activation Map Compression through Tensor Decomposition for Deep Learning.
NeurIPS
Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione, Samuel Tardieu, Van-Tam Nguyen
2024 J jnl
Activation Map Compression through Tensor Decomposition for Deep Learning.
CoRR
Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione, Samuel Tardieu, Van-Tam Nguyen
2024 — conf
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering.
ECCV (83)
Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2024 J jnl
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering.
CoRR
Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2024 A* conf
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
AAAI
Victor Quétu, Enzo Tartaglione
2024 — conf
Debiasing Surgeon: Fantastic Weights and How to Find Them.
ECCV (85)
Rémi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione
2024 J jnl
Debiasing surgeon: fantastic weights and how to find them.
CoRR
Rémi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione
2024 B conf
Domain Adaptation for Learned Image Compression with Supervised Adapters.
DCC
Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2024 J jnl
Domain Adaptation for Learned Image Compression with Supervised Adapters.
CoRR
Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2024 J jnl
ELMGS: Enhancing memory and computation scaLability through coMpression for 3D Gaussian Splatting.
CoRR
Muhammad Salman Ali, Sung-Ho Bae, Enzo Tartaglione
2024 J jnl
Efficient Progressive Image Compression with Variance-aware Masking.
CoRR
Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto, Pamela C. Cosman
2024 A* conf
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks.
AAAI
Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione
2024 — book
From Model Complexity Reduction to Feature Selection in Deep Learning: a Regularization Story. (De la réduction de la complexité des modèles à la sélection des caractéristiques dans l'apprentissage profond : une histoire de régularisation).
Enzo Tartaglione
2024 J jnl
GABIC: Graph-based Attention Block for Image Compression.
CoRR
Gabriele Spadaro, Alberto Presta, Enzo Tartaglione, Jhony H. Giraldo, Marco Grangetto, Attilio Fiandrotti
2024 B conf
Gabic: Graph-Based Attention Block for Image Compression.
ICIP
Gabriele Spadaro, Alberto Presta, Enzo Tartaglione, Jhony H. Giraldo, Marco Grangetto, Attilio Fiandrotti
2024 J jnl
HYGENE: A Diffusion-based Hypergraph Generation Method.
CoRR
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner de Barros, Jhony H. Giraldo
2024 J jnl
LaCoOT: Layer Collapse through Optimal Transport.
CoRR
Victor Quétu, Nour Hezbri, Enzo Tartaglione
2024 — conf
Memory-Optimized Once-For-All Network.
ECCV Workshops (11)
Maxime Girard, Victor Quétu, Samuel Tardieu, Van-Tam Nguyen, Enzo Tartaglione
2024 J jnl
Memory-Optimized Once-For-All Network.
CoRR
Maxime Girard, Victor Quétu, Samuel Tardieu, Van-Tam Nguyen, Enzo Tartaglione
2024 A conf
Mini but Mighty: Finetuning ViTs with Mini Adapters.
WACV
Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière
2024 J jnl
NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer.
CoRR
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2024 J jnl
STanH : Parametric Quantization for Variable Rate Learned Image Compression.
CoRR
Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2024 J jnl
Say My Name: a Model's Bias Discovery Framework.
CoRR
Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione
2024 J jnl
The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth.
CoRR
Victor Quétu, Zhu Liao, Enzo Tartaglione
2024 — conf
The Simpler The Better: An Entropy-Based Importance Metric to Reduce Neural Networks' Depth.
ECML/PKDD (6)
Victor Quétu, Zhu Liao, Enzo Tartaglione
2024 J jnl
Till the Layers Collapse: Compressing a Deep Neural Network through the Lenses of Batch Normalization Layers.
CoRR
Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2024 — conf
Towards On-Device Learning on the Edge: Ways to Select Neurons to Update Under a Budget Constraint.
WACV (Workshops)
Aël Quélennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
2024 A conf
Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning.
BMVC
Muhammad Salman Ali, Maryam Qamar, Sung-Ho Bae, Enzo Tartaglione
2024 J jnl
Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning.
CoRR
Muhammad Salman Ali, Maryam Qamar, Sung-Ho Bae, Enzo Tartaglione
2024 — conf
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking.
ICPR (5)
Carl De Sousa Trias, Mihai Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione
2024 J jnl
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking.
CoRR
Carl De Sousa Trias, Mihai Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione
2024 — conf
Weighted Ensemble Models Are Strong Continual Learners.
ECCV (71)
Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière
2024 J jnl
WiGNet: Windowed Vision Graph Neural Network.
CoRR
Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo
2023 — conf
A Differentiable Entropy Model for Learned Image Compression.
ICIAP (1)
Alberto Presta, Attilio Fiandrotti, Enzo Tartaglione, Marco Grangetto
2023 — conf
A Hitchhiker's Guide to White-Box Neural Network Watermarking Robustness.
EUVIP
Carl De Sousa Trias, Mihai Mitrea, Enzo Tartaglione, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri
2023 — conf
A round-trip journey in pruned artificial neural networks.
Ital-IA
Andrea Bragagnolo, Enzo Tartaglione, Gianluca Dalmasso, Marco Grangetto
2023 — conf
AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results.
SSP
Van-Tam Nguyen, Enzo Tartaglione, Tuan Dinh
2023 — conf
All Predictions Matter: an Online Video Prediction Approach.
EUVIP
Melan Vijayaratnam, Marco Cagnazzo, Giuseppe Valenzise, Enzo Tartaglione
2023 — conf
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
ICCV (Workshops)
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2023 J jnl
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
CoRR
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2023 A conf
Compressing Explicit Voxel Grid Representations: fast NeRFs become also small.
WACV
Chenxi Lola Deng, Enzo Tartaglione
2023 J jnl
Disentangling private classes through regularization.
Neurocomputing
Enzo Tartaglione, Francesca Gennari, Victor Quétu, Marco Grangetto
2023 B conf
Dodging the Double Descent in Deep Neural Networks.
ICIP
Victor Quétu, Enzo Tartaglione
2023 J jnl
Dodging the Double Descent in Deep Neural Networks.
CoRR
Victor Quétu, Enzo Tartaglione
2023 J jnl
Dodging the Sparse Double Descent.
CoRR
Victor Quétu, Enzo Tartaglione
2023 J jnl
Find the Lady: Permutation and Re-Synchronization of Deep Neural Networks.
CoRR
Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione
2023 — conf
Learn How to Prune Pixels for Multi-View Neural Image-Based Synthesis.
ICME Workshops
Marta Milovanovic, Enzo Tartaglione, Marco Cagnazzo, Félix Henry
2023 J jnl
Learn how to Prune Pixels for Multi-view Neural Image-based Synthesis.
CoRR
Marta Milovanovic, Enzo Tartaglione, Marco Cagnazzo, Félix Henry
2023 — conf
Mental State Classification Using EEG Signals: Ethics, Law and Challenges.
PKDD/ECML Workshops (1)
Rémi Nahon, Nasim Bagheri, Giovanna Varni, Enzo Tartaglione, Van-Tam Nguyen
2023 J jnl
Mini but Mighty: Finetuning ViTs with Mini Adapters.
CoRR
Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière
2023 A* conf
Mining bias-target Alignment from Voronoi Cells.
ICCV
Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione
2023 J jnl
Mining bias-target Alignment from Voronoi Cells.
CoRR
Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione
2023 J jnl
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke.
Frontiers Neuroinformatics
Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui
2023 — conf
Optimized preprocessing and Tiny ML for Attention State Classification.
SSP
Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
2023 J jnl
Optimized preprocessing and Tiny ML for Attention State Classification.
CoRR
Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
2023 A* conf
Packed Ensembles for efficient uncertainty estimation.
ICLR
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
2023 J jnl
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation.
CoRR
Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière
2023 — conf
SCoTTi: Save Computation at Training Time with an adaptive framework.
ICCV (Workshops)
Ziyu Li, Enzo Tartaglione, Van-Tam Nguyen
2023 J jnl
SCoTTi: Save Computation at Training Time with an adaptive framework.
CoRR
Ziyu Lin, Enzo Tartaglione, Van-Tam Nguyen
2023 — conf
Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets.
ICCV (Workshops)
Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione
2023 — conf
Sparse Double Descent in Vision Transformers: Real or Phantom Threat?
ICIAP (2)
Victor Quétu, Marta Milovanovic, Enzo Tartaglione
2023 J jnl
Sparse Double Descent in Vision Transformers: real or phantom threat?
CoRR
Victor Quétu, Marta Milovanovic, Enzo Tartaglione
2023 J jnl
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint.
CoRR
Aël Quélennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
2023 — conf
Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble.
ICIAP (2)
Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2023 A* conf
Unbiased Supervised Contrastive Learning.
ICLR
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
2023 C conf
Unified Measures for the Rate-Distortion-Latency Trade-off.
VCIP
Melan Vijayaratnam, Marta Milovanovic, Marco Cagnazzo, Enzo Tartaglione, Giuseppe Valenzise
2023 J jnl
Weighted Ensemble Models Are Strong Continual Learners.
CoRR
Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière
2022 — conf
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images.
ICIAP (1)
Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
2022 J jnl
Compressing Explicit Voxel Grid Representations: fast NeRFs become also small.
CoRR
Chenxi Lola Deng, Enzo Tartaglione
2022 J jnl
Disentangling private classes through regularization.
CoRR
Enzo Tartaglione, Francesca Gennari, Marco Grangetto
2022 A conf
Information Removal at the bottleneck in Deep Neural Networks.
BMVC
Enzo Tartaglione
2022 J jnl
Information Removal at the bottleneck in Deep Neural Networks.
CoRR
Enzo Tartaglione
2022 J jnl
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks.
Neural Networks
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
2022 J jnl
Packed-Ensembles for Efficient Uncertainty Estimation.
CoRR
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
2022 J jnl
REM: Routing Entropy Minimization for Capsule Networks.
CoRR
Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2022 J jnl
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
2022 — ch.
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.
Technologies and Applications for Big Data Value
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
2022 B conf
The Rise of the Lottery Heroes: Why Zero-Shot Pruning is Hard.
ICIP
Enzo Tartaglione
2022 J jnl
The rise of the lottery heroes: why zero-shot pruning is hard.
CoRR
Enzo Tartaglione
2022 A* conf
To update or not to update? Neurons at equilibrium in deep models.
NeurIPS
Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
2022 J jnl
To update or not to update? Neurons at equilibrium in deep models.
CoRR
Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
2022 J jnl
Unbiased Supervised Contrastive Learning.
CoRR
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
2022 — conf
UniToBrain Dataset: A Brain Perfusion Dataset.
ICIAP Workshops (1)
Daniele Perlo, Enzo Tartaglione, Umberto A. Gava, Federico D'Agata, Edwin Benninck, Mauro Bergui
2022 J jnl
UniToBrain dataset: a Brain Perfusion Dataset.
CoRR
Daniele Perlo, Enzo Tartaglione, Umberto A. Gava, Federico D'Agata, Edwin Benninck, Mauro Bergui
2022 J jnl
Unsupervised Learning of Unbiased Visual Representations.
CoRR
Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
2021 — conf
A Hitchhiker's Guide towards Transactive Memory System Modeling in Small Group Interactions.
ICMI Companion
Enzo Tartaglione, Béatrice Biancardi, Maurizio Mancini, Giovanna Varni
2021 J jnl
A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images.
CoRR
Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
2021 — conf
Bridging the gap between debiasing and privacy for deep learning.
ICCVW
Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
2021 — conf
Capsule Networks with Routing Annealing.
ICANN (1)
Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2021 — conf
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images.
MICAD
Daniele Perlo, Enzo Tartaglione, Paola Cassoni, Luca Bertero, Marco Grangetto
2021 J jnl
Dysplasia grading of colorectal polyps through CNN analysis of WSI.
CoRR
Daniele Perlo, Enzo Tartaglione, Luca Bertero, Paola Cassoni, Marco Grangetto
2021 A* conf
EnD: Entangling and Disentangling Deep Representations for Bias Correction.
CVPR
Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
2021 J jnl
EnD: Entangling and Disentangling deep representations for bias correction.
CoRR
Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
2021 J jnl
HEMP: High-order Entropy Minimization for neural network comPression.
CoRR
Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto
2021 J jnl
HEMP: High-order entropy minimization for neural network compression.
Neurocomputing
Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto
2021 J jnl
Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke.
CoRR
Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Mauro Bergui
2021 B conf
On the Role of Structured Pruning for Neural Network Compression.
ICIP
Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2021 J jnl
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks.
CoRR
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
2021 J jnl
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading.
CoRR
Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
2021 B conf
Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading.
ICIP
Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
2020 B conf
A non-discriminatory approach to ethical deep learning.
TrustCom
Enzo Tartaglione, Marco Grangetto
2020 J jnl
A non-discriminatory approach to ethical deep learning.
CoRR
Enzo Tartaglione, Marco Grangetto
2020 B conf
Delving in the loss landscape to embed robust watermarks into neural networks.
ICPR
Enzo Tartaglione, Marco Grangetto, Davide Cavagnino, Marco Botta
2020 J jnl
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks.
CoRR
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
2020 — conf
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima.
ICANN (2)
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
2020 J jnl
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima.
CoRR
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
2020 J jnl
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data.
CoRR
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto
2019 — conf
Post-synaptic Potential Regularization Has Potential.
ICANN (2)
Enzo Tartaglione, Daniele Perlo, Marco Grangetto
2019 J jnl
Post-synaptic potential regularization has potential.
CoRR
Enzo Tartaglione, Daniele Perlo, Marco Grangetto
2019 — conf
Take a Ramble into Solution Spaces for Classification Problems in Neural Networks.
ICIAP (1)
Enzo Tartaglione, Marco Grangetto
2018 J jnl
Learning Sparse Neural Networks via Sensitivity-Driven Regularization.
CoRR
Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini
2018 A* conf
Learning sparse neural networks via sensitivity-driven regularization.
NeurIPS
Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini
2017 J jnl
On the role of synaptic stochasticity in training low-precision neural networks.
CoRR
Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina
2015 A conf
Communication Scheduling and Buslet Synthesis for Low-Interconnect HLS Designs.
ICCAD
Enzo Tartaglione, Shantanu Dutt