Pietro Astolfi

Postdoc@Meta·加拿大·OpenReview

研究方向

Geometric Deep Learning · Point clouds neural networks · Graph neural networks · Deep Learning · Representation learning · self-supervised learning · semi-supervised learning · Neuroimaging · brain white matter · brain connectivity

6.4

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs

ICLR 2025Poster

5.3

OC-CLIP : Object-centric binding in Contrastive Language-Image Pretraining

ICLR 2025Rejected

二作

5.7

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models

NeurIPS 2024Poster

二作

合作者 (20)

Adriana Romero-Soriano

Pietro Astolfi

Object-centric binding in Contrastive Language-Image Pretraining

Improving the Scaling Laws of Synthetic Data with Deliberate Practice

Boosting Latent Diffusion with Perceptual Objectives

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs

OC-CLIP : Object-centric binding in Contrastive Language-Image Pretraining

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models