Publications

AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection to Clinical Validation

ISBI, 2024.

Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto

Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble

ICIAP, 2023.

Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto

A Differentiable Entropy Model for Learned Image Compression

ICIAP, 2023.

Alberto Presta, Attilio Faindrotti, Enzo Tartaglione, Marco Grangetto

Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets

ICCVW, 2023.

Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione

Integrating Prior Knowledge in Contrastive Learning with Kernel

ICML, 2023.

Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori

Unbiased Supervised Contrastive Learning

ICLR, 2023.

Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori

Contrastive learning for regression in multi-site brain age prediction

ISBI, 2023.

Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori

Unsupervised Learning of Unbiased Visual Representations

Preprint, 2022.

Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto

UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans

ICIAP, 2022.

Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Attilio Fiandrotti, Marco Grangetto, others

Towards Efficient Capsule Networks

ICIP, 2022.

Riccardo Renzulli, Marco Grangetto

To update or not to update? Neurons at equilibrium in deep models

NeurIPS, 2022.

Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto

Simplify: A python library for optimizing pruned neural networks

SoftwareX, 2022.

Andrea Bragagnolo, Carlo Alberto Barbano

REM: Routing Entropy Minimization for Capsule Networks

Preprint, 2022.

Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto

Method and apparatus for pruning neural networks

US Patent App. 17/769,707, 2022.

Enzo Tartaglione, Marco Grangetto, Francesco Odierna, Andrea Bragagnolo, Attilio Fiandrotti

Lung Nodules Segmentation with DeepHealth Toolkit

ICIAP, 2022.

Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino

LSVL: Large-scale season-invariant visual localization for UAVs

Preprint, 2022.

Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki

Loss-based sensitivity regularization: towards deep sparse neural networks

Neural Networks, 2022.

Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto

Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization

ICIP, 2022.

José Flich, Laura Medina, Izan Catalán, Carles Hernández, Andrea Bragagnolo, Fabrice Auzanneau, David Briand

A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images

ICIAP, 2022.

Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto

UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading

ICIP, 2021.

Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto

Serene: Sensitivity-based regularization of neurons for structured sparsity in neural networks

IEEE TNNLS, 2021.

Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto

On the role of structured pruning for neural network compression

ICIP, 2021.

Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto

EnD: Entangling and Disentangling deep representations for bias correction

CVPR, 2021.

Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto

Capsule networks with routing annealing

ICANN, 2021.

Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto

Bridging the gap between debiasing and privacy for deep learning

ICCVW, 2021.

Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto

Unveiling covid-19 from chest x-ray with deep learning: a hurdles race with small data

IJERPH, 2020.

Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto

Pruning artificial neural networks: A way to find well-generalizing, high-entropy sharp minima

ICANN, 2020.

Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto

RAT-OWL: Reasoning with rational closure in description logics of typicality

CEUR Workshop, 2017.

Laura Giordano, Valentina Gliozzi, Gian Luca Pozzato, Riccardo Renzulli, others

An efficient reasoner for description logics of typicality and rational closure

CEUR Workshop, 2017.

Laura Giordano, Valentina Gliozzi, Gian Luca Pozzato, Riccardo Renzulli, others