Enzo Tartaglione

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 90

Top Topics

Entropy Minimization

Efficient Compression

Top Venues

ICCV (Workshops)

Publications

Muhammad Salman Ali, Maryam Qamar, Sung-Ho Bae, Enzo Tartaglione
Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning. CoRR (2024)
Aël Quélennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
Towards On-Device Learning on the Edge: Ways to Select Neurons to Update Under a Budget Constraint. WACV (Workshops) (2024)
Rémi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione
Debiasing surgeon: fantastic weights and how to find them. CoRR (2024)
Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière
Mini but Mighty: Finetuning ViTs with Mini Adapters. WACV (2024)
Victor Quétu, Zhu Liao, Enzo Tartaglione
The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth. CoRR (2024)
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer. CoRR (2024)
Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. CoRR (2024)
Victor Quétu, Enzo Tartaglione
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI (2024)
Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks. AAAI (2024)
Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
Domain Adaptation for Learned Image Compression with Supervised Adapters. DCC (2024)
Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
Domain Adaptation for Learned Image Compression with Supervised Adapters. CoRR (2024)
Victor Quétu, Nour Hezbri, Enzo Tartaglione
LaCoOT: Layer Collapse through Optimal Transport. CoRR (2024)
Ziyu Lin, Enzo Tartaglione, Van-Tam Nguyen
SCoTTi: Save Computation at Training Time with an adaptive framework. CoRR (2023)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. ICLR (2023)
Van-Tam Nguyen, Enzo Tartaglione, Tuan Dinh
AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results. SSP (2023)
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? ICCV (Workshops) (2023)
Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione
Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. ICCV (Workshops) (2023)
Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione
Mining bias-target Alignment from Voronoi Cells. CoRR (2023)
Melan Vijayaratnam, Marco Cagnazzo, Giuseppe Valenzise, Enzo Tartaglione
All Predictions Matter: an Online Video Prediction Approach. EUVIP (2023)
Ziyu Li, Enzo Tartaglione, Van-Tam Nguyen
SCoTTi: Save Computation at Training Time with an adaptive framework. ICCV (Workshops) (2023)
Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière
Mini but Mighty: Finetuning ViTs with Mini Adapters. CoRR (2023)
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
Packed Ensembles for efficient uncertainty estimation. ICLR (2023)
Chenxi Lola Deng, Enzo Tartaglione
Compressing Explicit Voxel Grid Representations: fast NeRFs become also small. WACV (2023)
Alberto Presta, Attilio Fiandrotti, Enzo Tartaglione, Marco Grangetto
A Differentiable Entropy Model for Learned Image Compression. ICIAP (1) (2023)
Victor Quétu, Marta Milovanovic, Enzo Tartaglione
Sparse Double Descent in Vision Transformers: Real or Phantom Threat? ICIAP (2) (2023)
Andrea Bragagnolo, Enzo Tartaglione, Gianluca Dalmasso, Marco Grangetto
A round-trip journey in pruned artificial neural networks. Ital-IA (2023)
Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione
Find the Lady: Permutation and Re-Synchronization of Deep Neural Networks. CoRR (2023)
Victor Quétu, Enzo Tartaglione
Dodging the Double Descent in Deep Neural Networks. ICIP (2023)
Marta Milovanovic, Enzo Tartaglione, Marco Cagnazzo, Félix Henry
Learn how to Prune Pixels for Multi-view Neural Image-based Synthesis. CoRR (2023)
Carl De Sousa Trias, Mihai Mitrea, Enzo Tartaglione, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri
A Hitchhiker's Guide to White-Box Neural Network Watermarking Robustness. EUVIP (2023)
Melan Vijayaratnam, Marta Milovanovic, Marco Cagnazzo, Enzo Tartaglione, Giuseppe Valenzise
Unified Measures for the Rate-Distortion-Latency Trade-off. VCIP (2023)
Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
Optimized preprocessing and Tiny ML for Attention State Classification. CoRR (2023)
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? CoRR (2023)
Victor Quétu, Enzo Tartaglione
Dodginge the Double Descent in Deep Neural Networks. CoRR (2023)
Victor Quétu, Enzo Tartaglione
Dodging the Sparse Double Descent. CoRR (2023)
Marta Milovanovic, Enzo Tartaglione, Marco Cagnazzo, Félix Henry
Learn How to Prune Pixels for Multi-View Neural Image-Based Synthesis. ICME Workshops (2023)
Enzo Tartaglione, Francesca Gennari, Victor Quétu, Marco Grangetto
Disentangling private classes through regularization. Neurocomputing 554 (2023)
Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
Optimized preprocessing and Tiny ML for Attention State Classification. SSP (2023)
Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble. ICIAP (2) (2023)
Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione
Mining bias-target Alignment from Voronoi Cells. ICCV (2023)
Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation. CoRR (2023)
Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière
Weighted Ensemble Models Are Strong Continual Learners. CoRR (2023)
Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke. Frontiers Neuroinformatics 17 (2023)
Victor Quétu, Marta Milovanovic, Enzo Tartaglione
Sparse Double Descent in Vision Transformers: real or phantom threat? CoRR (2023)
Aël Quélennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint. CoRR (2023)
Enzo Tartaglione
Information Removal at the bottleneck in Deep Neural Networks. CoRR (2022)
Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images. ICIAP (1) (2022)
Enzo Tartaglione, Francesca Gennari, Marco Grangetto
Disentangling private classes through regularization. CoRR (2022)
Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
Unsupervised Learning of Unbiased Visual Representations. CoRR (2022)
Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
To update or not to update? Neurons at equilibrium in deep models. NeurIPS (2022)
Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
To update or not to update? Neurons at equilibrium in deep models. CoRR (2022)
Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
REM: Routing Entropy Minimization for Capsule Networks. CoRR (2022)
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. CoRR (2022)
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks. Neural Networks 146 (2022)
Enzo Tartaglione
The rise of the lottery heroes: why zero-shot pruning is hard. CoRR (2022)
Daniele Perlo, Enzo Tartaglione, Umberto A. Gava, Federico D'Agata, Edwin Benninck, Mauro Bergui
UniToBrain Dataset: A Brain Perfusion Dataset. ICIAP Workshops (1) (2022)
Chenxi Lola Deng, Enzo Tartaglione
Compressing Explicit Voxel Grid Representations: fast NeRFs become also small. CoRR (2022)
Enzo Tartaglione
Information Removal at the bottleneck in Deep Neural Networks. BMVC (2022)
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
Packed-Ensembles for Efficient Uncertainty Estimation. CoRR (2022)
Enzo Tartaglione
The Rise of the Lottery Heroes: Why Zero-Shot Pruning is Hard. ICIP (2022)
Daniele Perlo, Enzo Tartaglione, Umberto A. Gava, Federico D'Agata, Edwin Benninck, Mauro Bergui
UniToBrain dataset: a Brain Perfusion Dataset. CoRR (2022)
Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto
HEMP: High-order Entropy Minimization for neural network comPression. CoRR (2021)
Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto
HEMP: High-order entropy minimization for neural network compression. Neurocomputing 461 (2021)
Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading. CoRR (2021)
Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
Bridging the gap between debiasing and privacy for deep learning. ICCVW (2021)
Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading. ICIP (2021)
Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Mauro Bergui
Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke. CoRR (2021)
Enzo Tartaglione, Béatrice Biancardi, Maurizio Mancini, Giovanna Varni
A Hitchhiker's Guide towards Transactive Memory System Modeling in Small Group Interactions. ICMI Companion (2021)
Daniele Perlo, Enzo Tartaglione, Luca Bertero, Paola Cassoni, Marco Grangetto
Dysplasia grading of colorectal polyps through CNN analysis of WSI. CoRR (2021)
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks. CoRR (2021)
Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
EnD: Entangling and Disentangling Deep Representations for Bias Correction. CVPR (2021)
Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
EnD: Entangling and Disentangling deep representations for bias correction. CoRR (2021)
Daniele Perlo, Enzo Tartaglione, Paola Cassoni, Luca Bertero, Marco Grangetto
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images. MICAD (2021)
Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
On the Role of Structured Pruning for Neural Network Compression. ICIP (2021)
Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
Capsule Networks with Routing Annealing. ICANN (1) (2021)
Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images. CoRR (2021)
Enzo Tartaglione, Marco Grangetto, Davide Cavagnino, Marco Botta
Delving in the loss landscape to embed robust watermarks into neural networks. ICPR (2020)
Enzo Tartaglione, Marco Grangetto
A non-discriminatory approach to ethical deep learning. TrustCom (2020)
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima. CoRR (2020)
Enzo Tartaglione, Marco Grangetto
A non-discriminatory approach to ethical deep learning. CoRR (2020)
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima. ICANN (2) (2020)
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data. CoRR (2020)
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks. CoRR (2020)
Enzo Tartaglione, Daniele Perlo, Marco Grangetto
Post-synaptic potential regularization has potential. CoRR (2019)
Enzo Tartaglione, Marco Grangetto
Take a Ramble into Solution Spaces for Classification Problems in Neural Networks. ICIAP (1) (2019)
Enzo Tartaglione, Daniele Perlo, Marco Grangetto
Post-synaptic Potential Regularization Has Potential. ICANN (2) (2019)
Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini
Learning sparse neural networks via sensitivity-driven regularization. NeurIPS (2018)
Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini
Learning Sparse Neural Networks via Sensitivity-Driven Regularization. CoRR (2018)
Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina
On the role of synaptic stochasticity in training low-precision neural networks. CoRR (2017)
Enzo Tartaglione, Shantanu Dutt
Communication Scheduling and Buslet Synthesis for Low-Interconnect HLS Designs. ICCAD (2015)