Tartaglione, Enzo

32 publications

TMLR 2026 Layer Collapse Can Be Induced by Unstructured Pruning Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

ICCV 2025 Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière, Joost Van De Weijer

ICML 2025 Beyond Low-Rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Le-Trung Nguyen, Aël Quélennec, Van-Tam Nguyen, Enzo Tartaglione

NeurIPS 2025 Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino

WACV 2025 ELMGS: Enhancing Memory and Computation Scalability Through Compression for 3D Gaussian Splatting Muhammad Salman Ali, Sung-Ho Bae, Enzo Tartaglione

WACV 2025 Efficient Progressive Image Compression with Variance-Aware Masking Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto, Pamela Cosman

ICCV 2025 FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Shuai Xiao, Enzo Tartaglione

AAAI 2025 HYGENE: A Diffusion-Based Hypergraph Generation Method Dorian Gailhard, Enzo Tartaglione, Lirida Naviner, Jhony H. Giraldo

ICCV 2025 LaCoOT: Layer Collapse Through Optimal Transport Victor Quétu, Zhu Liao, Nour Hezbri, Fabio Pizzati, Enzo Tartaglione

TMLR 2025 Say My Name: A Model's Bias Discovery Framework Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione

AAAI 2025 Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

WACV 2025 WiGNet: Windowed Vision Graph Neural Network Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo

NeurIPS 2024 Activation mAP Compression Through Tensor Decomposition for Deep Learning Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione, Samuel Tardieu, Van-Tam Nguyen

ECCV 2024 Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering Francesco Di Sario, Riccardo Renzulli, Marco Grangetto, Enzo Tartaglione

AAAI 2024 DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? Victor Quétu, Enzo Tartaglione

ECCV 2024 Debiasing Surgeon: Fantastic Weights and How to Find Them Remi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione

AAAI 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

ECCVW 2024 Memory-Optimized Once-for-All Network Maxime Girard, Victor Quétu, Samuel Tardieu, Van-Tam Nguyen, Enzo Tartaglione

WACV 2024 Mini but Mighty: Finetuning ViTs with Mini Adapters Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière

ECML-PKDD 2024 The Simpler the Better: An Entropy-Based Importance Metric to Reduce Neural Networks' Depth Victor Quétu, Zhu Liao, Enzo Tartaglione

ECCV 2024 Weighted Ensemble Models Are Strong Continual Learners Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière

ICCVW 2023 Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

WACV 2023 Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small Chenxi Lola Deng, Enzo Tartaglione

ICCV 2023 Mining Bias-Target Alignment from Voronoi Cells Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione

ICLR 2023 Packed Ensembles for Efficient Uncertainty Estimation Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-marc Martinez, Andrei Bursuc, Gianni Franchi

ICCVW 2023 SCoTTi: Save Computation at Training Time with an Adaptive Framework Ziyu Li, Enzo Tartaglione, Van-Tam Nguyen

ICCVW 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

ICLR 2023 Unbiased Supervised Contrastive Learning Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori

NeurIPS 2022 To Update or Not to Update? Neurons at Equilibrium in Deep Models Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto

ICCVW 2021 Bridging the Gap Between Debiasing and Privacy for Deep Learning Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto

CVPR 2021 EnD: Entangling and Disentangling Deep Representations for Bias Correction Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto

NeurIPS 2018 Learning Sparse Neural Networks via Sensitivity-Driven Regularization Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini