Xavier Bresson

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 61

Top Venues

CoRR

ICLR

IEEE Trans. Image Process.

NIPS

Publications

Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
Advancing Graph Convolutional Networks via General Spectral Wavelets. CoRR (2024)
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification. CoRR (2024)
Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) (2024)
Thomas Laurent, James von Brecht, Xavier Bresson
Feature Collapse. ICLR (2024)
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. CoRR (2024)
Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. ICLR (2024)
Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR (2024)
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Benchmarking Graph Neural Networks. J. Mach. Learn. Res. 24 (2023)
Thomas Laurent, James H. von Brecht, Xavier Bresson
Feature Collapse. CoRR (2023)
Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic
Reconstruction of short genomic sequences with graph convolutional networks. MIPRO (2023)
Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao
Graph Transformers for Large Graphs. CoRR (2023)
Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi
Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR (2023)
Thomas Laurent, James von Brecht, Xavier Bresson
Long-Tailed Learning Requires Feature Learning. ICLR (2023)
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
A Generalization of ViT/MLP-Mixer to Graphs. ICML (2023)
Thomas Laurent, James H. von Brecht, Xavier Bresson
A Model of One-Shot Generalization. CoRR (2022)
Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic
Learning to Untangle Genome Assembly with Graph Convolutional Networks. CoRR (2022)
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Graph Neural Networks with Learnable Structural and Positional Representations. ICLR (2022)
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
A Generalization of ViT/MLP-Mixer to Graphs. CoRR (2022)
Peng Xu, Chaitanya K. Joshi, Xavier Bresson
Multigraph Transformer for Free-Hand Sketch Recognition. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. CoRR (2022)
Burak Satar, Hongyuan Zhu, Xavier Bresson, Joo Hwee Lim
Semantic Role Aware Correlation Transformer for Text to Video Retrieval. CoRR (2022)
Burak Satar, Hongyuan Zhu, Xavier Bresson, Joo Hwee Lim
Semantic Role Aware Correlation Transformer For Text To Video Retrieval. ICIP (2021)
Xavier Bresson, Thomas Laurent
The Transformer Network for the Traveling Salesman Problem. CoRR (2021)
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Graph Neural Networks with Learnable Structural and Positional Representations. CoRR (2021)
Vijay Prakash Dwivedi, Xavier Bresson
A Generalization of Transformer Networks to Graphs. CoRR (2020)
Axel Nilsson, Xavier Bresson
An Experimental Study of the Transferability of Spectral Graph Networks. CoRR (2020)
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Benchmarking Graph Neural Networks. CoRR (2020)
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson
Learning TSP Requires Rethinking Generalization. CoRR (2020)
Peng Xu, Chaitanya K. Joshi, Xavier Bresson
Multi-Graph Transformer for Free-Hand Sketch Recognition. CoRR (2019)
Xavier Bresson, Thomas Laurent
A Two-Step Graph Convolutional Decoder for Molecule Generation. CoRR (2019)
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
On Learning Paradigms for the Travelling Salesman Problem. CoRR (2019)
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem. CoRR (2019)
Yao Yang Leow, Thomas Laurent, Xavier Bresson
GraphTSNE: A Visualization Technique for Graph-Structured Data. CoRR (2019)
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters. IEEE Trans. Signal Process. 67 (1) (2019)
Xavier Bresson, Thomas Laurent
An Experimental Study of Neural Networks for Variable Graphs. ICLR (Workshop) (2018)
Suyash Lakhotia, Xavier Bresson
An Experimental Comparison of Text Classification Techniques. CW (2018)
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. ICONIP (1) (2018)
Federico Monti, Michael M. Bronstein, Xavier Bresson
Deep Geometric Matrix Completion: A New Way for Recommender Systems. ICASSP (2018)
Alessandra Griffa, Benjamin Ricaud, Kirell Benzi, Xavier Bresson, Alessandro Daducci, Pierre Vandergheynst, Jean-Philippe Thiran, Patric Hagmann
Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems. NeuroImage 155 (2017)
Xavier Bresson, Thomas Laurent
Residual Gated Graph ConvNets. CoRR (2017)
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters. CoRR (2017)
Federico Monti, Michael M. Bronstein, Xavier Bresson
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks. CoRR (2017)
Federico Monti, Michael M. Bronstein, Xavier Bresson
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks. NIPS (2017)
Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson
FMA: A Dataset for Music Analysis. ISMIR (2017)
Rodrigo Pena, Xavier Bresson, Pierre Vandergheynst
Source Localization on Graphs via l1 Recovery and Spectral Graph Theory. CoRR (2016)
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst
Song recommendation with non-negative matrix factorization and graph total variation. ICASSP (2016)
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst
Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation. CoRR (2016)
Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
Consistency of Cheeger and Ratio Graph Cuts. J. Mach. Learn. Res. 17 (2016)
Kirell Benzi, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
FMA: A Dataset For Music Analysis. CoRR (2016)
Rodrigo Pena, Xavier Bresson, Pierre Vandergheynst
Source localization on graphs via ℓ1 recovery and spectral graph theory. IVMSP (2016)
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. CoRR (2016)
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. CoRR (2016)
Thomas Laurent, James H. von Brecht, Xavier Bresson, Arthur Szlam
The Product Cut. NIPS (2016)
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. NIPS (2016)
Virginia Estellers, Stefano Soatto, Xavier Bresson
Adaptive Regularization With the Structure Tensor. IEEE Trans. Image Process. 24 (6) (2015)
Xavier Bresson, Thomas Laurent, James H. von Brecht
Enhanced lasso recovery on graph. EUSIPCO (2015)
Xavier Bresson, Thomas Laurent, James H. von Brecht
Enhanced Lasso Recovery on Graph. CoRR (2015)
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst
Robust Principal Component Analysis on Graphs. ICCV (2015)
Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst
Functional correspondence by matrix completion. CVPR (2015)
Sébastien Tourbier, Xavier Bresson, Patric Hagmann, Jean-Philippe Thiran, Reto Meuli, Meritxell Bach Cuadra
An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization. NeuroImage 118 (2015)
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst
Robust Principal Component Analysis on Graphs. CoRR (2015)
Sébastien Tourbier, Xavier Bresson, Patric Hagmann, Jean-Philippe Thiran, Reto Meuli, Meritxell Bach Cuadra
Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction. MICCAI (2) (2014)
Xavier Bresson, Xue-Cheng Tai, Tony F. Chan, Arthur Szlam
Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model. J. Math. Imaging Vis. 49 (1) (2014)
Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran
Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches. IEEE Trans. Image Process. 23 (2) (2014)
Sylvia Rueda, Sana Fathima, Caroline L. Knight, Mohammad Yaqub, Aris Papageorghiou, Bahbibi Rahmatullah, Alessandro Foi, Matteo Maggioni, Antonietta Pepe, Jussi Tohka, Richard V. Stebbing, John McManigle, Anca Ciurte, Xavier Bresson, Meritxell Bach Cuadra, Changming Sun, Gennady V. Ponomarev, Mikhail S. Gelfand, Marat D. Kazanov, Ching-Wei Wang, Hsiang-Chou Chen, Chun-Wei Peng, Chu-Mei Hung, J. Alison Noble
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Trans. Medical Imaging 33 (4) (2014)
Virginia Estellers, Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran
Harmonic Active Contours. IEEE Trans. Image Process. 23 (1) (2014)
Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
Consistency of Cheeger and Ratio Graph Cuts. CoRR (2014)
Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst
Matrix Completion on Graphs. CoRR (2014)
Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst
Functional correspondence by matrix completion. CoRR (2014)
Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James H. von Brecht
An Incremental Reseeding Strategy for Clustering. CoRR (2014)
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
Multiclass Total Variation Clustering. CoRR (2013)
Virginia Estellers, Jean-Philippe Thiran, Xavier Bresson
Enhanced Compressed Sensing Recovery With Level Set Normals. IEEE Trans. Image Process. 22 (7) (2013)
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
Multiclass Total Variation Clustering. NIPS (2013)
Ethan S. Brown, Tony F. Chan, Xavier Bresson
Completely Convex Formulation of the Chan-Vese Image Segmentation Model. Int. J. Comput. Vis. 98 (1) (2012)
Xavier Bresson, Ruiliang Zhang
TV-SVM: Total Variation Support Vector Machine for Semi-Supervised Data Classification CoRR (2012)
Virginia Estellers, Jean-Philippe Thiran, Xavier Bresson
Enhanced Compressed Sensing Recovery with Level Set Normals CoRR (2012)
Virginia Estellers, Dominique Zosso, Rongjie Lai, Stanley J. Osher, Jean-Philippe Thiran, Xavier Bresson
Efficient Algorithm for Level Set Method Preserving Distance Function. IEEE Trans. Image Process. 21 (12) (2012)
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
Convergence and Energy Landscape for Cheeger Cut Clustering. NIPS (2012)
Anca Ciurte, Nawal Houhou, Sergiu Nedevschi, Alessia Pica, Francis L. Munier, Jean-Philippe Thiran, Xavier Bresson, Meritxell Bach Cuadra
An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features. ISBI (2011)
Camille Couprie, Xavier Bresson, Laurent Najman, Hugues Talbot, Leo J. Grady
Surface Reconstruction Using Power Watershed. ISMM (2011)
Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran
Geodesic Active Fields - A Geometric Framework for Image Registration. IEEE Trans. Image Process. 20 (5) (2011)
Miyoun Jung, Xavier Bresson, Tony F. Chan, Luminita A. Vese
Nonlocal Mumford-Shah Regularizers for Color Image Restoration. IEEE Trans. Image Process. 20 (6) (2011)
Virginia Estellers, Dominique Zosso, Xavier Bresson, Jean-Philippe Thiran
Harmonic active contours for multichannel image segmentation. ICIP (2011)
Sai Subrahmanyam Gorthi, Valerie Duay, Xavier Bresson, Meritxell Bach Cuadra, F. Javier Sánchez Castro, Claudio Pollo, Abdelkarim Allal, Jean-Philippe Thiran
Active deformation fields: Dense deformation field estimation for atlas-based segmentation using the active contour framework. Medical Image Anal. 15 (6) (2011)
Tom Goldstein, Xavier Bresson, Stanley J. Osher
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction. J. Sci. Comput. 45 (1-3) (2010)
Jian Ye, Todd Wittman, Xavier Bresson, Stanley J. Osher
Segmentation for Hyperspectral Images with Priors. ISVC (2) (2010)
Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley J. Osher
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. 3 (3) (2010)
Arthur Szlam, Xavier Bresson
Total Variation, Cheeger Cuts. ICML (2010)
Kangyu Ni, Xavier Bresson, Tony F. Chan, Selim Esedoglu
Local Histogram Based Segmentation Using the Wasserstein Distance. Int. J. Comput. Vis. 84 (1) (2009)
Miyoun Jung, Xavier Bresson, Tony F. Chan, Luminita A. Vese
Color Image Restoration Using Nonlocal Mumford-Shah Regularizers. EMMCVPR (2009)
Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F. Chan, Jean-Philippe Thiran
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut. SSVM (2009)
Valerie Duay, Xavier Bresson, F. Javier Sánchez Castro, Claudio Pollo, Meritxell Bach Cuadra, Jean-Philippe Thiran
An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation. MICCAI (2) (2008)
Nawal Houhou, Jean-Philippe Thiran, Xavier Bresson
Fast texture segmentation model based on the shape operator and active contour. CVPR (2008)
Valerie Duay, Xavier Bresson, Nawal Houhou, Meritxell Bach Cuadra, Jean-Philippe Thiran
Registration of multiple regions derived from the optical flow model and the active contour framework. EUSIPCO (2007)
Xavier Bresson, Selim Esedoglu, Pierre Vandergheynst, Jean-Philippe Thiran, Stanley J. Osher
Fast Global Minimization of the Active Contour/Snake Model. J. Math. Imaging Vis. 28 (2) (2007)
Lisa Jonasson, Patric Hagmann, Claudio Pollo, Xavier Bresson, Cecilia Richero Wilson, Reto Meuli, Jean-Philippe Thiran
A level set method for segmentation of the thalamus and its nuclei in DT-MRI. Signal Process. 87 (2) (2007)
Xavier Bresson, Tony F. Chan
Active Contours Based on Chambolle's Mean Curvature Motion. ICIP (1) (2007)
Iva Bogdanova, Xavier Bresson, Jean-Philippe Thiran, Pierre Vandergheynst
Scale Space Analysis and Active Contours for Omnidirectional Images. IEEE Trans. Image Process. 16 (7) (2007)
Lisa Jonasson, Xavier Bresson, Jean-Philippe Thiran, Van J. Wedeen, Patric Hagmann
Representing Diffusion MRI in 5-D Simplifies Regularization and Segmentation of White Matter Tracts. IEEE Trans. Medical Imaging 26 (11) (2007)
Valerie Duay, Meritxell Bach Cuadra, Xavier Bresson, Jean-Philippe Thiran
Dense deformation field estimation for atlas registration using the active contour framework. EUSIPCO (2006)

Xavier Bresson.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xavier Bresson