Dorina Thanou

According to our database, Dorina Thanou authored at least 39 papers between 2010 and 2024.

Collaborative distances:

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

2024

DeFoG: Discrete Flow Matching for Graph Generation.

Yiming Qin, Manuel Madeira, Dorina Thanou, Pascal Frossard

CoRR, 2024

Generative Modelling of Structurally Constrained Graphs.

Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard

CoRR, 2024

Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography.

Xiaowu Sun, Theofilos Belmpas, Ortal Yona Senouf, Emmanuel Abbe, Pascal Frossard, Bernard De Bruyne, Olivier Muller, Stéphane Fournier, Thabo Mahendiran, Dorina Thanou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain.

Sara Mohammadi, Massoud Babaie-Zadeh, Dorina Thanou

IEEE Trans. Signal Inf. Process. over Networks, 2023

Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion.

Manuel Madeira, Dorina Thanou, Pascal Frossard

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

2022

Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness.

Jhony H. Giraldo, Arif Mahmood, Belmar García García, Dorina Thanou, Thierry Bouwmans

IEEE Trans. Signal Inf. Process. over Networks, 2022

2021

node2coords: Graph Representation Learning with Wasserstein Barycenters.

Effrosyni Simou, Dorina Thanou, Pascal Frossard

IEEE Trans. Signal Inf. Process. over Networks, 2021

Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder.

Sarah Itani, Dorina Thanou

Medical Image Anal., 2021

Interpretable Stability Bounds for Spectral Graph Filters.

Henry Kenlay, Dorina Thanou, Xiaowen Dong

Proceedings of the 38th International Conference on Machine Learning, 2021

On The Stability of Graph Convolutional Neural Networks Under Edge Rewiring.

Henry Kenlay, Dorina Thanou, Xiaowen Dong

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Mask Combination of Multi-Layer Graphs for Global Structure Inference.

Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard

IEEE Trans. Signal Inf. Process. over Networks, 2020

Graph Transform Optimization With Application to Image Compression.

Giulia Fracastoro, Dorina Thanou, Pascal Frossard

IEEE Trans. Image Process., 2020

Graph Signal Processing for Machine Learning: A Review and New Perspectives.

Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard

IEEE Signal Process. Mag., 2020

On The Stability of Polynomial Spectral Graph Filters.

Henry Kenlay, Dorina Thanou, Xiaowen Dong

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Height and Weight Estimation from Unconstrained Images.

Can Yilmaz Altinigne, Dorina Thanou, Radhakrishna Achanta

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Graph Signal Processing Framework for the Classification of Temporal Brain Data.

Sarah Itani, Dorina Thanou

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Learning Graphs From Data: A Signal Representation Perspective.

Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard

IEEE Signal Process. Mag., 2019

2018

Learning of robust spectral graph dictionaries for distributed processing.

Dorina Thanou, Pascal Frossard

EURASIP J. Adv. Signal Process., 2018

2017

Learning Heat Diffusion Graphs.

Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard

IEEE Trans. Signal Inf. Process. over Networks, 2017

Graph-based Transform Coding with Application to Image Compression.

Giulia Fracastoro, Dorina Thanou, Pascal Frossard

CoRR, 2017

Graph learning under sparsity priors.

Hermina Petric Maretic, Dorina Thanou, Pascal Frossard

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning time varying graphs.

Vassilis Kalofolias, Andreas Loukas, Dorina Thanou, Pascal Frossard

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning sparse models of diffusive graph signals.

Shuyu Dong, Dorina Thanou, Pierre-Antoine Absil, Pascal Frossard

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Learning Laplacian Matrix in Smooth Graph Signal Representations.

Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst

IEEE Trans. Signal Process., 2016

Graph-Based Compression of Dynamic 3D Point Cloud Sequences.

Dorina Thanou, Philip A. Chou, Pascal Frossard

IEEE Trans. Image Process., 2016

Graph transform learning for image compression.

Giulia Fracastoro, Dorina Thanou, Pascal Frossard

Proceedings of the 2016 Picture Coding Symposium, 2016

2015

Graph-based motion estimation and compensation for dynamic 3D point cloud compression.

Dorina Thanou, Philip A. Chou, Pascal Frossard

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Multi-graph learning of spectral graph dictionaries.

Dorina Thanou, Pascal Frossard

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Laplacian matrix learning for smooth graph signal representation.

Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Distributed signal processing with graph spectral dictionaries.

Dorina Thanou, Pascal Frossard

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Learning Parametric Dictionaries for Signals on Graphs.

Dorina Thanou, David I. Shuman, Pascal Frossard

IEEE Trans. Signal Process., 2014

Learning parametric dictionaries for graph signals.

Dorina Thanou, David I. Shuman, Pascal Frossard

CoRR, 2014

Learning Graphs from Signal Observations under Smoothness Prior.

Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst

CoRR, 2014

2013

Distributed Average Consensus With Quantization Refinement.

Dorina Thanou, Effrosini Kokiopoulou, Ye Pu, Pascal Frossard

IEEE Trans. Signal Process., 2013

Parametric dictionary learning for graph signals.

Dorina Thanou, David I. Shuman, Pascal Frossard

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Progressive quantization in distributed average consensus.

Dorina Thanou, Effrosini Kokiopoulou, Pascal Frossard

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Compressed classification of observation sets with linear subspace embeddings.

Dorina Thanou, Pascal Frossard

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters.

Eleni Fotopoulou, Dorina Thanou, Thanos Stouraitis

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Polynomial filter design for quantized consensus.

Dorina Thanou, Hyunggon Park, Effrosini Kokiopoulou, Pascal Fwssarr

Proceedings of the 18th European Signal Processing Conference, 2010