Enzo Tartaglione

Télécom Paris — France

Computer Science · Physical Sciences

10h-index664citations149works0.92yr avg
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Research Topics

Advanced Neural Network Applications(30), Domain Adaptation and Few-Shot Learning(17), Neural Networks and Applications(15), Adversarial Robustness in Machine Learning(15), Generative Adversarial Networks and Image Synthesis(14)

Publications149 total

Improving Generative Data Augmentation with Prior-Knowledge for Dysplasia Grading of Colorectal Polyps
Lecture notes in computer science·2026
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
arXiv (Cornell University)·2025Open Access
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
ArXiv.org·2025Open Access
TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones
Neurocomputing·2025Open Access
Study of Training Dynamics for Memory-Constrained Fine-Tuning
arXiv (Cornell University)·2025Open Access
Efficient Resource-Constrained Training of Vision Transformers via Subspace Optimization
arXiv (Cornell University)·2025Open Access
Unified pipeline for generalized mental state detection using EEG signals
Expert Systems with Applications·2025Open Access
Capsule networks do not need to model everything
Pattern Recognition·2025Open Access
Neural Velocity for hyperparameter tuning
arXiv (Cornell University)·2025Open Access
Neural Velocity for hyperparameter tuning
2025
Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates
2025· 1 citedOpen Access
Feature-aware Hypergraph Generation via Next-Scale Prediction
arXiv (Cornell University)·2025Open Access
Efficient adaptation of deep neural networks for semantic segmentation in space applications
Scientific Reports·2025· 2 citedOpen Access
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
arXiv (Cornell University)·2025Open Access
I-INR: Iterative Implicit Neural Representations
arXiv (Cornell University)·2025Open Access
Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space Applications
arXiv (Cornell University)·2025Open Access
HYGENE: A Diffusion-Based Hypergraph Generation Method
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 1 citedOpen Access
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 2 citedOpen Access
Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization
arXiv (Cornell University)·2025Open Access
Efficient Progressive Image Compression with Variance-Aware Masking
2025· 1 cited
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Frequent Co-authors

Marco Grangetto(26), Attilio Fiandrotti(11), Victor Quétu(8), Van-Tam Nguyen(7), Carlo Alberto Barbano(6), Andrea Bragagnolo(4), Riccardo Renzulli(4), Gabriele Spadaro(4), Alberto Presta(4), Umberto Gava(3), Federico D’Agata(3), Mauro Bergui(3), Olivier Laurent(3), Adrien Lafage(3), Jean Martínez(3), Andrei Bursuc(3), Gianni Franchi(3), Stéphane Lathuilière(3), Marco Cagnazzo(3), Daniele Perlo(3)