Geometric deep learning: going beyond Euclidean data

24 November 2016

Joan Bruna

Papers citing "Geometric deep learning: going beyond Euclidean data"

50 / 1,430 papers shown

Title
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging Rudrasis Chakraborty Monami Banerjee B. Vemuri 21 9 0 14 May 2018
Towards a Spectrum of Graph Convolutional Networks Mathias Niepert Alberto García-Durán GNN 17 1 0 04 May 2018
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings Daniele Zambon L. Livi Cesare Alippi 29 7 0 03 May 2018
On the Dual Geometry of Laplacian Eigenfunctions A. Cloninger Stefan Steinerberger 12 8 0 25 Apr 2018
Building Function Approximators on top of Haar Scattering Networks Fernando Fernandes Neto 17 3 0 09 Apr 2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images Nanyang Wang Yinda Zhang Zhuwen Li Yanwei Fu Wei Liu Yu-Gang Jiang 3DV 4 1,316 0 05 Apr 2018
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings O. Ganea Gary Bécigneul Thomas Hofmann 13 262 0 03 Apr 2018
Visual Object Categorization Based on Hierarchical Shape Motifs Learned From Noisy Point Cloud Decompositions Christian A. Mueller A. Birk 3DPC 11 3 0 03 Apr 2018
Graph Convolutional Neural Networks via Scattering Dongmian Zou Gilad Lerman GNN 15 120 0 31 Mar 2018
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion G. Vivar A. Zwergal Nassir Navab Seyed-Ahmad Ahmadi 11 23 0 30 Mar 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 152 769 0 30 Mar 2018
H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis Tianjia Shao Yifan Yang Y. Weng Qiming Hou Kun Zhou 3DV 28 29 0 30 Mar 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 16 296 0 28 Mar 2018
Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data Karthik Gopinath Christian Desrosiers H. Lombaert 11 4 0 27 Mar 2018
Point Convolutional Neural Networks by Extension Operators Matan Atzmon Haggai Maron Y. Lipman 3DPC 14 536 0 27 Mar 2018
Generalised Structural CNNs (SCNNs) for time series data with arbitrary graph topology Thomas Teh C. Auepanwiriyakul J. Harston A. Faisal GNN 27 2 0 14 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning K. K. Thekumparampil Chong-Jun Wang Sewoong Oh Li-Jia Li GNN 29 331 0 10 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 22 157 0 07 Mar 2018
MIMO Graph Filters for Convolutional Neural Networks Fernando Gama A. Marques Alejandro Ribeiro G. Leus GNN 30 9 0 06 Mar 2018
Convolutional Geometric Matrix Completion Kai-Lang Yao Wu-Jun Li Jianbo Yang Xinyan Lu GNN 10 8 0 02 Mar 2018
Matching Convolutional Neural Networks without Priors about Data Carlos Lassance Jean-Charles Vialatte Vincent Gripon GNN MedIm 27 6 0 27 Feb 2018
Improving Graph Convolutional Networks with Non-Parametric Activation Functions Simone Scardapane S. Van Vaerenbergh Danilo Comminiello A. Uncini GNN 15 7 0 26 Feb 2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing Hang Su Varun Jampani Deqing Sun Subhransu Maji E. Kalogerakis Ming-Hsuan Yang Jan Kautz 3DPC 28 749 0 22 Feb 2018
Spectrally approximating large graphs with smaller graphs Andreas Loukas P. Vandergheynst 14 102 0 21 Feb 2018
Machine Learning Methods for Data Association in Multi-Object Tracking Patrick Emami P. Pardalos L. Elefteriadou Sanjay Ranka VOT 27 40 0 19 Feb 2018
Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play Yongxi Tan Jin Yang Xin Chen Qitao Song Yunjun Chen Zhangxiang Ye Zhenqiang Su 14 2 0 18 Feb 2018
Connectivity-Driven Parcellation Methods for the Human Cerebral Cortex Salim Arslan 13 2 0 17 Feb 2018
Recognizing Cuneiform Signs Using Graph Based Methods Nils M. Kriege Matthias Fey Denis Fisseler Petra Mutzel F. Weichert 10 33 0 16 Feb 2018
Graph2Seq: Scalable Learning Dynamics for Graphs S. Venkatakrishnan Mohammad Alizadeh Pramod Viswanath GNN 28 12 0 14 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks Chao Shang Qinqing Liu Ko-Shin Chen Jiangwen Sun Jin Lu Jinfeng Yi J. Bi GNN 29 93 0 14 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 21 833 0 09 Feb 2018
Critical Percolation as a Framework to Analyze the Training of Deep Networks Z. Ringel Rodrigo Andrade de Bem 22 2 0 06 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs Federico Monti Karl Otness M. Bronstein GNN 23 143 0 04 Feb 2018
Complex Network Classification with Convolutional Neural Network Ruyue Xin Jiang Zhang Yi Shao GNN 27 111 0 02 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 48 6,030 0 24 Jan 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Yu Wu Xinhan Di Baoquan Chen 3DPC 89 2,420 0 23 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 54 2,774 0 22 Jan 2018
Graph Memory Networks for Molecular Activity Prediction Trang Pham T. Tran Svetha Venkatesh GNN 26 30 0 08 Jan 2018
Differential geometry and stochastic dynamics with deep learning numerics Line Kühnel Alexis Arnaudon Stefan Sommer AI4CE 19 25 0 22 Dec 2017
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation Yaoqing Yang Chen Feng Yiru Shen Dong Tian 3DPC 40 75 0 19 Dec 2017
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling Yiru Shen Chen Feng Yaoqing Yang Dong Tian 3DPC 19 33 0 19 Dec 2017
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology Andreas Holzinger Bernd Malle Peter Kieseberg P. Roth Heimo Muller Robert Reihs K. Zatloukal 17 91 0 18 Dec 2017
Mathematics of Deep Learning René Vidal Joan Bruna Raja Giryes Stefano Soatto OOD 30 120 0 13 Dec 2017
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis Peng-Shuai Wang Yang Liu Yu-Xiao Guo Chun-Yu Sun Xin Tong 3DV 28 205 0 05 Dec 2017
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 27 618 0 04 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders Or Litany A. Bronstein M. Bronstein A. Makadia 23 222 0 01 Dec 2017
Backprop as Functor: A compositional perspective on supervised learning Brendan Fong David I. Spivak Rémy Tuyéras 33 93 0 28 Nov 2017
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 28 437 0 24 Nov 2017
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 25 461 0 20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 45 509 0 17 Nov 2017