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Michael Bronstein

Imperial College London, Department of Computing, USI Lugano, Institute of Computational Science, Twitter

Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling


Sep 28, 2021
Balder Croquet, Daan Christiaens, Seth M. Weinberg, Michael Bronstein, Dirk Vandermeulen, Peter Claes

* International Conference on Medical Image Computing and Computer-Assisted Intervention (2021) 118-128 

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Weisfeiler and Lehman Go Cellular: CW Networks


Jun 23, 2021
Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yu Guang Wang, Pietro Li├▓, Guido Mont├║far, Michael Bronstein

* 28 pages, 7 figures 

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Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks


Mar 04, 2021
Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang, Nina Otter, Guido Mont├║far, Pietro Li├▓, Michael Bronstein

* 24 pages, 9 figures 

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Non-Rigid Puzzles


Nov 26, 2020
Or Litany, Emanuele Rodolà, Alex Bronstein, Michael Bronstein, Daniel Cremers

* Computer Graphics Forum, Volume 35, Issue 5, August 2016 

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3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties


Sep 10, 2020
Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris, Giorgos Bouritsas, Shunwang Gong, Sergiy Bokhnyak, Susan Walsh, Mark Shriver, Michael Bronstein, Peter Claes, .

* Accepted at International Conference on Pattern Recognition (ICPR 2020). Mahdi and Nauwelaers contributed equally and are ordered alphabetically 

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Graph signal processing for machine learning: A review and new perspectives


Jul 31, 2020
Xiaowen Dong, Dorina Thanou, Laura Toni, Michael Bronstein, Pascal Frossard


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Temporal Graph Networks for Deep Learning on Dynamic Graphs


Jun 18, 2020
Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca, Davide Eynard, Federico Monti, Michael Bronstein


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Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline


Apr 28, 2020
Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fon, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael Bronstein, Amra Deli─ç, Gabriele Sottocornola, Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi

* 10 pages, 2 tables 

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SIGN: Scalable Inception Graph Neural Networks


Apr 23, 2020
Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael Bronstein, Federico Monti


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Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild


Apr 04, 2020
Dominik Kulon, Riza Alp G├╝ler, Iasonas Kokkinos, Michael Bronstein, Stefanos Zafeiriou

* Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020). Additional resources: https://arielai.com/mesh_hands 

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Latent Patient Network Learning for Automatic Diagnosis


Mar 27, 2020
Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael Bronstein


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Differentiable Graph Module (DGM) Graph Convolutional Networks


Feb 18, 2020
Anees Kazi, Luca Cosmo, Nassir Navab, Michael Bronstein


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Graph Attentional Autoencoder for Anticancer Hyperfood Prediction


Jan 16, 2020
Guadalupe Gonzalez, Shunwang Gong, Ivan Laponogov, Kirill Veselkov, Michael Bronstein

* 33rd Conference on Neural Information Processing Systems Workshops (NeurIPS 2019) 

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SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator


Nov 13, 2019
Shunwang Gong, Lei Chen, Michael Bronstein, Stefanos Zafeiriou

* The IEEE International Conference on Computer Vision (ICCV) Workshops, 2019 

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ncRNA Classification with Graph Convolutional Networks


May 16, 2019
Emanuele Rossi, Federico Monti, Michael Bronstein, Pietro Li├▓


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Single Image 3D Hand Reconstruction with Mesh Convolutions


May 13, 2019
Dominik Kulon, Haoyang Wang, Riza Alp G├╝ler, Michael Bronstein, Stefanos Zafeiriou


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Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation


May 09, 2019
Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Michael Bronstein, Stefanos Zafeiriou


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MeshGAN: Non-linear 3D Morphable Models of Faces


Mar 25, 2019
Shiyang Cheng, Michael Bronstein, Yuxiang Zhou, Irene Kotsia, Maja Pantic, Stefanos Zafeiriou


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Deformable Shape Completion with Graph Convolutional Autoencoders


Apr 03, 2018
Or Litany, Alex Bronstein, Michael Bronstein, Ameesh Makadia

* CVPR 2018 

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Efficient Deformable Shape Correspondence via Kernel Matching


Sep 15, 2017
Zorah L├Ąhner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodol├á, Alex Bronstein, Michael Bronstein, Ron Kimmel, Daniel Cremers

* Accepted for oral presentation at 3DV 2017, including supplementary material 

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Robust Principal Component Analysis on Graphs


Apr 23, 2015
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael Bronstein, Pierre Vandergheynst


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Matrix Completion on Graphs


Nov 27, 2014
Vassilis Kalofolias, Xavier Bresson, Michael Bronstein, Pierre Vandergheynst

* Version of NIPS 2014 workshop "Out of the Box: Robustness in High Dimension" 

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