GRAPE: Ground Robot for vineyArd Monitoring and ProtEction. - Ferran Roure; Germán Moreno; Marcel Soler; Davide Faconti; Daniel Serrano; Pietro Astolfi; Gianluca Bardaro; Alessandro Gabrielli; Luca Bascetta; Matteo Matteucci (ROBOT (1), 2017)

Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition. - Jan Svoboda; Pietro Astolfi; Davide Boscaini; Jonathan Masci; Michael M. Bronstein (IJCB, 2020)

A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. - Pietro Astolfi; Alessandro De Benedictis; Silvio Sarubbo; Giulia Berto; Emanuele Olivetti; Diego Sona; Paolo Avesani (ISBI, 2020)

Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy. - Gabriele Amorosino; Denis Peruzzo; Pietro Astolfi; Daniela Redaelli; Paolo Avesani; Filippo Arrigoni; Emanuele Olivetti (MLCN/RNO-AI@MICCAI, 2020)

Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. - Pietro Astolfi; Ruben S. Verhagen; Laurent Petit; Emanuele Olivetti; Jonathan Masci; Davide Boscaini; Paolo Avesani (MICCAI (7), 2020)

Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem. - Emanuele Olivetti; Pietro Gori; Pietro Astolfi; Giulia Bertò; Paolo Avesani (WBIR, 2020)

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. - Giulia Bertò; Daniel Bullock; Pietro Astolfi; Soichi Hayashi; Luca Zigiotto; Luciano Annicchiarico; Francesco Corsini; Alessandro De Benedictis; Silvio Sarubbo; Franco Pestilli; Paolo Avesani; Emanuele Olivetti (NeuroImage, 2021)

Semi-supervised learning made simple with self-supervised clustering. - Enrico Fini; Pietro Astolfi; Karteek Alahari; Xavier Alameda-Pineda; Julien Mairal; Moin Nabi; Elisa Ricci 001 (CVPR, 2023)

Instance-Conditioned GAN Data Augmentation for Representation Learning. - Pietro Astolfi; Arantxa Casanova; Jakob Verbeek; Pascal Vincent; Adriana Romero-Soriano; Michal Drozdzal (CoRR, 2023)

Improved baselines for vision-language pre-training. - Enrico Fini; Pietro Astolfi; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (Trans. Mach. Learn. Res., 2023)

Supervised tractogram filtering using Geometric Deep Learning. - Pietro Astolfi; Ruben S. Verhagen; Laurent Petit; Emanuele Olivetti; Silvio Sarubbo; Jonathan Masci; Davide Boscaini; Paolo Avesani (Medical Image Anal., 2023)

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. - Jack Urbanek; Florian Bordes; Pietro Astolfi; Mary Williamson; Vasu Sharma; Adriana Romero-Soriano (CVPR, 2024)

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. - Tariq Berrada Ifriqi; Pietro Astolfi; Melissa Hall; Reyhane Askari Hemmat; Yohann Benchetrit; Marton Havasi; Matthew J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (NeurIPS, 2024)

DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning. - Jonathan Lebensold; Maziar Sanjabi; Pietro Astolfi; Adriana Romero-Soriano; Kamalika Chaudhuri; Mike Rabbat; Chuan Guo 001 (CoRR, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Consistency-diversity-realism Pareto fronts of conditional image generative models. - Pietro Astolfi; Marlène Careil; Melissa Hall; Oscar Mañas; Matthew J. Muckley; Jakob Verbeek; Adriana Romero-Soriano; Michal Drozdzal (CoRR, 2024)

On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. - Tariq Berrada; Pietro Astolfi; Melissa Hall; Reyhane Askari Hemmat; Yohann Benchetrit; Marton Havasi; Matthew J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (CoRR, 2024)

EvalGIM: A Library for Evaluating Generative Image Models. - Melissa Hall; Oscar Mañas; Reyhane Askari Hemmat; Mark Ibrahim; Candace Ross; Pietro Astolfi; Tariq Berrada Ifriqi; Marton Havasi; Yohann Benchetrit; Karen Ullrich; Carolina Braga; Abhishek Charnalia; et al. (CoRR, 2024)

Improving Text-to-Image Consistency via Automatic Prompt Optimization. - Oscar Mañas; Pietro Astolfi; Melissa Hall; Candace Ross; Jack Urbanek; Adina Williams; Aishwarya Agrawal; Adriana Romero-Soriano; Michal Drozdzal (Trans. Mach. Learn. Res., 2024)

Boosting Latent Diffusion with Perceptual Objectives. - Tariq Berrada; Pietro Astolfi; Melissa Hall; Marton Havasi; Yohann Benchetrit; Adriana Romero-Soriano; Karteek Alahari; Michal Drozdzal; Jakob Verbeek (ICLR, 2025)

X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. - Vlad Sobal; Mark Ibrahim; Randall Balestriero; Vivien Cabannes; Diane Bouchacourt; Pietro Astolfi; Kyunghyun Cho; Yann LeCun (ICLR, 2025)

Object-centric Binding in Contrastive Language-Image Pretraining. - Rim Assouel; Pietro Astolfi; Florian Bordes; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)

Improving the Scaling Laws of Synthetic Data with Deliberate Practice. - Reyhane Askari Hemmat; Mohammad Pezeshki; Elvis Dohmatob; Florian Bordes; Pietro Astolfi; Melissa Hall; Jakob Verbeek; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)