Pietro Astolfi

According to our database, Pietro Astolfi authored at least 23 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, February, 2025

Object-centric Binding in Contrastive Language-Image Pretraining.

Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

CoRR, February, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano

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

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

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, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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., December, 2023

Improved baselines for vision-language pre-training.

Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

Trans. Mach. Learn. Res., 2023

Instance-Conditioned GAN Data Augmentation for Representation Learning.

Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal

CoRR, 2023

Semi-supervised learning made simple with self-supervised clustering.

Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

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

2020

Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem.

Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertò, Paolo Avesani

Proceedings of the Biomedical Image Registration - 9th International Workshop, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition.

Jan Svoboda, Pietro Astolfi, Davide Boscaini, Jonathan Masci, Michael M. Bronstein

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

2017

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

Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017