Enzo Tartaglione
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
51
Venues
18
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
51 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | I-INR: Iterative Implicit Neural Representations. | Ali Haider, Muhammad Salman Ali, Maryam Qamar, Tahir Khalil, Soo Ye Kim, Jihyong Oh, Enzo Tartaglione, Sung-Ho Bae |
| 2026 | ICPR | CutClean: Neural Network Pruning for Privacy-Preserving Inference. | Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise, Enzo Tartaglione |
| 2026 | WACV | How I Met Your Bias: Investigating Bias Amplification in Diffusion Models. | Nathan Roos, Ekaterina Iakovleva, Ani Gjergji, Vito Paolo Pastore, Enzo Tartaglione |
| 2025 | AAAI | HYGENE: A Diffusion-Based Hypergraph Generation Method. | Dorian Gailhard, Enzo Tartaglione, Lirida Naviner, Jhony H. Giraldo |
| 2025 | AAAI | Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. | Zhu Liao, Nour Hezbri, Victor Qutu, Van-Tam Nguyen, Enzo Tartaglione |
| 2025 | ICCV | Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering. | Imad Eddine Marouf, Enzo Tartaglione, Stphane Lathuilire, Joost van de Weijer |
| 2025 | ICCV | LaCoOT: Layer Collapse through Optimal Transport. | Victor Qutu, Zhu Liao, Nour Hezbri, Fabio Pizzati, Enzo Tartaglione |
| 2025 | ICCV | FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance. | Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Qutu, Shuai Xiao, Enzo Tartaglione |
| 2025 | ICIAP | Improving Generative Data Augmentation with Prior-Knowledge for Dysplasia Grading of Colorectal Polyps. | Roberto Craparotta, Desislav Nikolaev Ivanov, Carlo Alberto Barbano, Enzo Tartaglione, Alessandro Gambella, Luca Cavallo, Paola Cassoni, Luca Bertero, Marco Grangetto |
| 2025 | ICML | Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning. | Le-Trung Nguyen, Al Qulennec, Van-Tam Nguyen, Enzo Tartaglione |
| 2025 | IJCNN | Neural Velocity for hyperparameter tuning. | Gianluca Dalmasso, Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto |
| 2025 | WACV | ELMGS: Enhancing Memory and Computation Scalability Through coMpression for 3D Gaussian Splatting. | Muhammad Salman Ali, Sung-Ho Bae, Enzo Tartaglione |
| 2025 | WACV | Efficient Progressive Image Compression with Variance-Aware Masking. | Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto, Pamela C. Cosman |
| 2025 | WACV | WiGNet: Windowed Vision Graph Neural Network. | Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo |
| 2024 | AAAI | DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? | Victor Qutu, Enzo Tartaglione |
| 2024 | AAAI | 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 |
| 2024 | BMVC | Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning. | Muhammad Salman Ali, Maryam Qamar, Sung-Ho Bae, Enzo Tartaglione |
| 2024 | DCC | Domain Adaptation for Learned Image Compression with Supervised Adapters. | Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto |
| 2024 | ECCV | Memory-Optimized Once-For-All Network. | Maxime Girard, Victor Qutu, Samuel Tardieu, Van-Tam Nguyen, Enzo Tartaglione |
| 2024 | ECCV | Weighted Ensemble Models Are Strong Continual Learners. | Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stphane Lathuilire |
| 2024 | ECCV | Debiasing Surgeon: Fantastic Weights and How to Find Them. | Rmi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione |
| 2024 | ECCV | Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. | Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto |
| 2024 | ICIP | Gabic: Graph-Based Attention Block for Image Compression. | Gabriele Spadaro, Alberto Presta, Enzo Tartaglione, Jhony H. Giraldo, Marco Grangetto, Attilio Fiandrotti |
| 2024 | ICPR | WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking. | Carl De Sousa Trias, Mihai Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione |
| 2024 | WACV | Mini but Mighty: Finetuning ViTs with Mini Adapters. | Imad Eddine Marouf, Enzo Tartaglione, Stphane Lathuilire |
| 2024 | WACV | Towards On-Device Learning on the Edge: Ways to Select Neurons to Update Under a Budget Constraint. | Al Qulennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen |
| 2024 | VCIP | ALICE: Adapt your Learnable Image Compression modEl for variable bitrates. | Gabriele Spadaro, Muhammad Salman Ali, Alberto Presta, Giommaria Pilo, Sung-Ho Bae, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione |
| 2023 | ICCV | Mining bias-target Alignment from Voronoi Cells. | Rmi Nahon, Van-Tam Nguyen, Enzo Tartaglione |
| 2023 | ICIAP | A Differentiable Entropy Model for Learned Image Compression. | Alberto Presta, Attilio Fiandrotti, Enzo Tartaglione, Marco Grangetto |
| 2023 | ICIAP | Sparse Double Descent in Vision Transformers: Real or Phantom Threat? | Victor Qutu, Marta Milovanovic, Enzo Tartaglione |
| 2023 | ICIAP | Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble. | Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto |
| 2023 | ICIP | Dodging the Double Descent in Deep Neural Networks. | Victor Qutu, Enzo Tartaglione |
| 2023 | ICLR | Unbiased Supervised Contrastive Learning. | Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori |
| 2023 | ICLR | Packed Ensembles for efficient uncertainty estimation. | Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi |
| 2023 | WACV | Compressing Explicit Voxel Grid Representations: fast NeRFs become also small. | Chenxi Lola Deng, Enzo Tartaglione |
| 2023 | VCIP | Unified Measures for the Rate-Distortion-Latency Trade-off. | Melan Vijayaratnam, Marta Milovanovic, Marco Cagnazzo, Enzo Tartaglione, Giuseppe Valenzise |
| 2022 | BMVC | Information Removal at the bottleneck in Deep Neural Networks. | Enzo Tartaglione |
| 2022 | ICIAP | 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 |
| 2022 | ICIAP | UniToBrain Dataset: A Brain Perfusion Dataset. | Daniele Perlo, Enzo Tartaglione, Umberto A. Gava, Federico D'Agata, Edwin Benninck, Mauro Bergui |
| 2022 | ICIP | The Rise of the Lottery Heroes: Why Zero-Shot Pruning is Hard. | Enzo Tartaglione |
| 2021 | CVPR | EnD: Entangling and Disentangling Deep Representations for Bias Correction. | Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto |
| 2021 | ICANN | Capsule Networks with Routing Annealing. | Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto |
| 2021 | ICIP | 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 |
| 2021 | ICIP | On the Role of Structured Pruning for Neural Network Compression. | Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto |
| 2021 | ICMI | A Hitchhiker's Guide towards Transactive Memory System Modeling in Small Group Interactions. | Enzo Tartaglione, Batrice Biancardi, Maurizio Mancini, Giovanna Varni |
| 2020 | ICANN | Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima. | Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto |
| 2020 | ICPR | Delving in the loss landscape to embed robust watermarks into neural networks. | Enzo Tartaglione, Marco Grangetto, Davide Cavagnino, Marco Botta |
| 2020 | TrustCom | A non-discriminatory approach to ethical deep learning. | Enzo Tartaglione, Marco Grangetto |
| 2019 | ICANN | Post-synaptic Potential Regularization Has Potential. | Enzo Tartaglione, Daniele Perlo, Marco Grangetto |
| 2019 | ICIAP | Take a Ramble into Solution Spaces for Classification Problems in Neural Networks. | Enzo Tartaglione, Marco Grangetto |
| 2015 | ICCAD | Communication Scheduling and Buslet Synthesis for Low-Interconnect HLS Designs. | Enzo Tartaglione, Shantanu Dutt |