Bouritsas, Giorgos

9 publications

ICML 2024 Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos, Mihalis Nicolaou, Yannis Panagakis

NeurIPS 2024 Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis Panagakis

ICMLW 2024 Towards Generalizable Particle Picking in Cryo-EM Images by Leveraging Masked AutoEncoder Andreas Zamanos, Panagiotis Koromilas, Giorgos Bouritsas, Panagiotis L. Kastritis, Yannis Panagakis

ECCV 2022 Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou

NeurIPS 2021 Partition and Code: Learning How to Compress Graphs Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael Bronstein

ECCV 2020 Learning to Generate Customized Dynamic 3D Facial Expressions Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou

CVPR 2020 P-Nets: Deep Polynomial Neural Networks Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou

ICCV 2019 Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Michael Bronstein, Stefanos Zafeiriou

CVPR 2018 Multimodal Visual Concept Learning with Weakly Supervised Techniques Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi, Petros Maragos