Andrea Bragagnolo

LINKS Foundation — Italy

Computer Science · Physical Sciences

6h-index76citations19works0.02yr avg
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Research Topics

Advanced Neural Network Applications(8), Domain Adaptation and Few-Shot Learning(4), Machine Learning and Data Classification(3), Generative Adversarial Networks and Image Synthesis(2), Anomaly Detection Techniques and Applications(2)

Publications19 total

When Does Pruning Benefit Vision Representations?
Lecture notes in computer science·2026
TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones
Neurocomputing·2025Open Access
Neural Velocity for hyperparameter tuning
arXiv (Cornell University)·2025Open Access
When Does Pruning Benefit Vision Representations?
arXiv (Cornell University)·2025Open Access
Neural Velocity for hyperparameter tuning
2025
Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets
2023· 6 cited
Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization
2022 IEEE International Conference on Image Processing (ICIP)·2022· 6 cited
To update or not to update? Neurons at equilibrium in deep models
arXiv (Cornell University)·2022Open Access
Simplify: A Python library for optimizing pruned neural networks
SoftwareX·2021· 12 citedOpen Access
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks
Neural Networks·2021· 29 citedOpen Access
On the Role of Structured Pruning for Neural Network Compression
2021· 7 citedOpen Access
Simplify: a Python library for optimizing pruned neural networks
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks
IEEE Transactions on Neural Networks and Learning Systems·2021· 1 citedOpen Access
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
Institutional Research Information System University of Turin (University of Turin)·2020Open Access
Pruning artificial neural networks: a way to find well-generalizing,\n high-entropy sharp minima
arXiv (Cornell University)·2020· 12 citedOpen Access
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima
Lecture notes in computer science·2020· 1 citedOpen Access
Cyber-coordinated Simulation Models for Multi-stage Additive Manufacturing of Energy Products
2018· 2 cited
エネルギー製品の多段階付加製造のためのサイバー協調シミュレーションモデル【JST・京大機械翻訳】
IEEE Conference Proceedings·2018
Indie Invaders - Analisi e prospettive dello sviluppo indipendente nell’industria videoludica giapponese
2017

Frequent Co-authors

Marco Grangetto(13), Enzo Tartaglione(11), Attilio Fiandrotti(8), Riccardo Renzulli(4), Gabriele Spadaro(2), Jhony H. Giraldo(2), Giulia Pedrielli(2), Enrico Cassano(2), Giovanni Dalmasso(2), Carlo Alberto Barbano(1), José Flich(1), Laura Medina(1), Izan Catalán Gallach(1), Carles Hernández(1), Fabrice Auzanneau(1), David Briand(1), Hongyue Sun(1), Guanglei Zhao(1), Chi Zhou(1), Rong Pan(1)