Pietro Astolfi

33 papers A* 6B 1Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Boosting Latent Diffusion with Perceptual Objectives. ICLR Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek
2025	A*	`conf`	Improving the Scaling Laws of Synthetic Data with Deliberate Practice. ICML Reyhane Askari Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Improving the Scaling Laws of Synthetic Data with Deliberate Practice. CoRR Reyhane Askari Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Object-centric Binding in Contrastive Language-Image Pretraining. CoRR Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano
2025	A*	`conf`	X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. ICLR Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
2024	A*	`conf`	A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. CVPR Jack Urbanek, Florian Bordes, Pietro Astolfi, Mary Williamson, Vasu Sharma, Adriana Romero-Soriano
2024	J	`jnl`	An Introduction to Vision-Language Modeling. CoRR 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
2024	J	`jnl`	Boosting Latent Diffusion with Perceptual Objectives. CoRR Tariq Berrada, Pietro Astolfi, Jakob Verbeek, Melissa Hall, Marton Havasi, Michal Drozdzal, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari
2024	J	`jnl`	Consistency-diversity-realism Pareto fronts of conditional image generative models. CoRR Pietro Astolfi, Marlène Careil, Melissa Hall, Oscar Mañas, Matthew J. Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
2024	J	`jnl`	DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning. CoRR Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo
2024	J	`jnl`	EvalGIM: A Library for Evaluating Generative Image Models. CoRR 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
2024	J	`jnl`	Improving Text-to-Image Consistency via Automatic Prompt Optimization. CoRR Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal
2024	J	`jnl`	Improving Text-to-Image Consistency via Automatic Prompt Optimization. Trans. Mach. Learn. Res. Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal
2024	J	`jnl`	On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. CoRR 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
2024	A*	`conf`	On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. NeurIPS 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
2024	J	`jnl`	𝕏-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. CoRR Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
2023	J	`jnl`	A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. CoRR Jack Urbanek, Florian Bordes, Pietro Astolfi, Mary Williamson, Vasu Sharma, Adriana Romero-Soriano
2023	J	`jnl`	Improved baselines for vision-language pre-training. CoRR Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
2023	J	`jnl`	Improved baselines for vision-language pre-training. Trans. Mach. Learn. Res. Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
2023	J	`jnl`	Instance-Conditioned GAN Data Augmentation for Representation Learning. CoRR Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal
2023	A*	`conf`	Semi-supervised learning made simple with self-supervised clustering. CVPR Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
2023	J	`jnl`	Semi-supervised learning made simple with self-supervised clustering. CoRR Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
2023	J	`jnl`	Supervised tractogram filtering using Geometric Deep Learning. Medical Image Anal. Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
2022	J	`jnl`	Supervised Tractogram Filtering using Geometric Deep Learning. CoRR Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
2022	—	`—`	Toward the "Deep Learning" of Brain White Matter Structures. Pietro Astolfi
2021	J	`jnl`	Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. NeuroImage 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
2020	—	`conf`	A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. ISBI Pietro Astolfi, Alessandro De Benedictis, Silvio Sarubbo, Giulia Berto, Emanuele Olivetti, Diego Sona, Paolo Avesani
2020	—	`conf`	Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy. MLCN/RNO-AI@MICCAI Gabriele Amorosino, Denis Peruzzo, Pietro Astolfi, Daniela Redaelli, Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti
2020	B	`conf`	Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition. IJCB Jan Svoboda, Pietro Astolfi, Davide Boscaini, Jonathan Masci, Michael M. Bronstein
2020	—	`conf`	Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem. WBIR Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertò, Paolo Avesani
2020	—	`conf`	Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. MICCAI (7) Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
2020	J	`jnl`	Tractogram filtering of anatomically non-plausible fibers with geometric deep learning. CoRR Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
2017	—	`conf`	GRAPE: Ground Robot for vineyArd Monitoring and ProtEction. ROBOT (1) Ferran Roure, Germán Moreno, Marcel Soler, Davide Faconti, Daniel Serrano, Pietro Astolfi, Gianluca Bardaro, Alessandro Gabrielli, Luca Bascetta, Matteo Matteucci