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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

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* 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 Liò, Guido Montúfar, Michael Bronstein

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* 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 Montúfar, Pietro Liò, Michael Bronstein

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* 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, .

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* 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 Delić, Gabriele Sottocornola, Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi

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* 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 Güler, Iasonas Kokkinos, Michael Bronstein, Stefanos Zafeiriou

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* 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

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* 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

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* 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 Liò

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Single Image 3D Hand Reconstruction with Mesh Convolutions


May 13, 2019
Dominik Kulon, Haoyang Wang, Riza Alp Güler, 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

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* CVPR 2018 
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Efficient Deformable Shape Correspondence via Kernel Matching


Sep 15, 2017
Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alex Bronstein, Michael Bronstein, Ron Kimmel, Daniel Cremers

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* 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

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