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Invariant Scattering Convolution Networks

5 March 2012

Joan Bruna

Papers citing "Invariant Scattering Convolution Networks"

50 / 490 papers shown

Title
Graph-based Active Learning for Semi-supervised Classification of SAR Data Kevin Miller John Mauro Jason Setiadi Xoaquin Baca Zhan Shi Jeff Calder Andrea L. Bertozzi 59 22 0 31 Mar 2022
Efficient Hybrid Network: Inducting Scattering Features D. Minskiy M. Bober 32 3 0 29 Mar 2022
Modelling nonlinear dependencies in the latent space of inverse scattering Juliusz Ziomek K. Farrahi 113 0 0 19 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 53 3 0 09 Mar 2022
WaveMix: Resource-efficient Token Mixing for Images Pranav Jeevan A. Sethi 44 10 0 07 Mar 2022
Singular Value Perturbation and Deep Network Optimization R. Riedi Randall Balestriero Richard G. Baraniuk AAML 63 8 0 07 Mar 2022
Monogenic Wavelet Scattering Network for Texture Image Classification W. H. Chak N. Saito 49 4 0 25 Feb 2022
SUTD-PRCM Dataset and Neural Architecture Search Approach for Complex Metasurface Design Tianning Zhang Y. Ang Erping Li C. Kee L. Ang 22 2 0 24 Feb 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 131 125 0 14 Feb 2022
Measuring dissimilarity with diffeomorphism invariance Théophile Cantelobre C. Ciliberto Benjamin Guedj Alessandro Rudi 119 1 0 11 Feb 2022
Radar-based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units R. Khushaba A. J. Hill 16 22 0 08 Feb 2022
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images Roozbeh Yousefzadeh FAtt 69 5 0 05 Feb 2022
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification Ce Ju Cuntai Guan 43 58 0 05 Feb 2022
Data-driven emergence of convolutional structure in neural networks Alessandro Ingrosso Sebastian Goldt 118 38 0 01 Feb 2022
Learning Operators with Coupled Attention Georgios Kissas Jacob H. Seidman Leonardo Ferreira Guilhoto V. Preciado George J. Pappas P. Perdikaris 84 113 0 04 Jan 2022
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks Shaun Li AI4CE 66 0 0 03 Jan 2022
Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach Christos N. Mavridis John S. Baras 52 1 0 04 Dec 2021
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image Yuki M. Asano Aaqib Saeed 92 7 0 01 Dec 2021
The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist S. Alexander Sarah Bawabe Batia Friedman-Shaw M. Toomey PINN AI4CE 36 2 0 27 Nov 2021
PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering Katsuya Hotta T. Akashi Shogo Tokai Chao Zhang 45 1 0 24 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 57 8 0 22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 47 0 0 18 Nov 2021
$Frequency learning for structured CNN filters with Gaussian fractional derivatives$ Frequency learning for structured CNN filters with Gaussian fractional derivatives Nikhil Saldanha S. Pintea Jan van Gemert Nergis Tomen 57 8 0 12 Nov 2021
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images Guo-Ye Yang Xiang-Li Li Ralph Robert Martin Shimin Hu 3DPC 56 13 0 05 Nov 2021
Benchmarks for Corruption Invariant Person Re-identification Minghui Chen Zhiqiang Wang Feng Zheng 69 26 0 01 Nov 2021
Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks Adithya Sineesh Mahesh Raveendranatha Panicker 29 2 0 17 Oct 2021
Phase Collapse in Neural Networks Florentin Guth J. Zarka S. Mallat 38 7 0 11 Oct 2021
Learning a Self-Expressive Network for Subspace Clustering Shangzhi Zhang Chong You René Vidal Chun-Guang Li 91 44 0 08 Oct 2021
Space-Time Graph Neural Networks Samar Hadou Charilaos I. Kanatsoulis Alejandro Ribeiro AI4TS 59 18 0 06 Oct 2021
Use of Deterministic Transforms to Design Weight Matrices of a Neural Network Pol Grau Jurado Xinyue Liang Alireza M. Javid Saikat Chatterjee 28 0 0 06 Oct 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 158 48 0 27 Sep 2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling Zhendong Zhang OOD 29 5 0 24 Sep 2021
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets Vitaliy Kinakh O. Taran S. Voloshynovskiy 62 12 0 31 Aug 2021
Fractal measures of image local features: an application to texture recognition Pedro M. Silva J. Florindo 25 14 0 27 Aug 2021
VisGraphNet: a complex network interpretation of convolutional neural features J. Florindo Young-Sup Lee Kyungkoo Jun Gwanggil Jeon M. Albertini FAtt GNN 42 14 0 27 Aug 2021
The staircase property: How hierarchical structure can guide deep learning Emmanuel Abbe Enric Boix-Adserà Matthew Brennan Guy Bresler Dheeraj M. Nagaraj 65 56 0 24 Aug 2021
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency S. Golestaneh Saba Dadsetan Kris Kitani ViT 59 255 0 16 Aug 2021
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney W. Kuo D. Rossinelli G. Schulz R. Wenger S. Hieber B. Müller V. Kurtcuoglu 49 9 0 04 Aug 2021
Operational Learning-based Boundary Estimation in Electromagnetic Medical Imaging Ahmed Al-Saffar A. Stancombe A. Zamani A. Abbosh 51 6 0 04 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 94 13 0 03 Aug 2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification Qiufu Li Linlin Shen Sheng Guo Zhihui Lai OOD 74 89 0 28 Jul 2021
Wavelet Design in a Learning Framework Dhruv Jawali Abhishek Kumar C. Seelamantula OOD 19 1 0 23 Jul 2021
A Simple Approach to Automated Spectral Clustering Jicong Fan Y. Tu Zhao Zhang Mingbo Zhao Haijun Zhang 103 20 0 23 Jul 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 75 18 0 20 Jul 2021
Adaptive wavelet distillation from neural networks through interpretations Wooseok Ha Chandan Singh F. Lanusse Srigokul Upadhyayula Bin Yu 43 41 0 19 Jul 2021
Lossy Compression for Lossless Prediction Yann Dubois Benjamin Bloem-Reddy Karen Ullrich Chris J. Maddison 111 62 0 21 Jun 2021
Wavelet-Packets for Deepfake Image Analysis and Detection Moritz Wolter F. Blanke R. Heese Jochen Garcke CVBM 73 41 0 17 Jun 2021
On the Sample Complexity of Learning under Invariance and Geometric Stability A. Bietti Luca Venturi Joan Bruna 52 5 0 14 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 91 24 0 11 Jun 2021
Learning to See by Looking at Noise Manel Baradad Jonas Wulff Tongzhou Wang Phillip Isola Antonio Torralba 104 92 0 10 Jun 2021