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Invariant Scattering Convolution Networks

5 March 2012

Joan Bruna

Papers citing "Invariant Scattering Convolution Networks"

50 / 490 papers shown

Title
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog Jan van Gemert SupR SSL 110 37 0 07 Jun 2021
Interferometric Graph Transform for Community Labeling Nathan Grinsztajn Louis Leconte Philippe Preux Edouard Oyallon 44 1 0 04 Jun 2021
Node-Variant Graph Filters in Graph Neural Networks Fernando Gama Brendon G. Anderson Somayeh Sojoudi GNN 76 6 0 31 May 2021
Deep scattering network for speech emotion recognition Premjeet Singh G. Saha Md. Sahidullah 45 14 0 11 May 2021
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling Anadi Chaman Ivan Dokmanić 67 9 0 09 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger Matthieu Wyart OOD 75 15 0 06 May 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 67 20 0 22 Apr 2021
A Comprehensive Survey of Scene Graphs: Generation and Application Xiaojun Chang Pengzhen Ren Pengfei Xu Zhihui Li Xiaojiang Chen Alexander G. Hauptmann 3DV 112 235 0 17 Mar 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 107 91 0 25 Feb 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun A. Kirillov Saining Xie 85 98 0 22 Feb 2021
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective A. Bietti 87 30 0 19 Feb 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model Bruno Loureiro Cédric Gerbelot Hugo Cui Sebastian Goldt Florent Krzakala M. Mézard Lenka Zdeborová 116 140 0 16 Feb 2021
An application of a pseudo-parabolic modeling to texture image recognition J. Florindo E. Abreu DiffM 31 1 0 09 Feb 2021
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 161 23 0 04 Feb 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen Jan van Gemert AAML 61 19 0 25 Jan 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 127 21 0 18 Jan 2021
Convolutional Neural Nets in Chemical Engineering: Foundations, Computations, and Applications Shengli Jiang Victor M. Zavala AI4CE 36 28 0 13 Jan 2021
Towards glass-box CNNs Manaswini Piduguralla Jignesh S. Bhatt 34 3 0 11 Jan 2021
Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training Mario Geiger Leonardo Petrini Matthieu Wyart DRL 72 11 0 30 Dec 2020
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 207 685 0 28 Dec 2020
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation A. Dubey M. T. Young Christopher Stanley D. Lunga Jacob D. Hinkle OOD 67 5 0 19 Dec 2020
Interpretable Image Clustering via Diffeomorphism-Aware K-Means Romain Cosentino Randall Balestriero Yanis Bahroun Anirvan M. Sengupta Richard Baraniuk B. Aazhang 28 0 0 16 Dec 2020
Sparse Multi-Family Deep Scattering Network Romain Cosentino Randall Balestriero 44 0 0 14 Dec 2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 99 36 0 12 Dec 2020
Spatio-Temporal Graph Scattering Transform Chao Pan Siheng Chen Antonio Ortega AI4TS 65 27 0 06 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 56 0 0 04 Dec 2020
Doubly Stochastic Subspace Clustering Derek Lim René Vidal B. Haeffele 59 22 0 30 Nov 2020
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support Isma Hadji Richard P. Wildes 16 2 0 30 Nov 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 101 71 0 28 Nov 2020
Learning Multiscale Convolutional Dictionaries for Image Reconstruction Tianlin Liu Anadi Chaman David Belius Ivan Dokmanić 93 27 0 25 Nov 2020
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks Matthew T.C. Li L. Demanet Leonardo Zepeda-Núnez 77 9 0 24 Nov 2020
Learnable Gabor modulated complex-valued networks for orientation robustness Felix Richards A. Paiement Xianghua Xie Elisabeth Sola Pierre-Alain Duc 26 2 0 23 Nov 2020
Texture image classification based on a pseudo-parabolic diffusion model Jardel Vieira E. Abreu J. Florindo DiffM 24 7 0 14 Nov 2020
Geometric Scattering Attention Networks Yimeng Min Frederik Wenkel Guy Wolf 118 9 0 28 Oct 2020
Deep Networks from the Principle of Rate Reduction Kwan Ho Ryan Chan Yaodong Yu Chong You Haozhi Qi John N. Wright Yi-An Ma 92 21 0 27 Oct 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 166 41 0 26 Oct 2020
Tensor Reordering for CNN Compression Matej Ulicny V. Krylov Rozenn Dahyot 38 4 0 22 Oct 2020
Stability of Algebraic Neural Networks to Small Perturbations Alejandro Parada-Mayorga Alejandro Ribeiro 37 7 0 22 Oct 2020
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification Maximilian P. Oppelt Maximilian Riehl Felix P. Kemeth Jan Steffan 8 12 0 15 Oct 2020
Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion Sunny Verma Chen Wang Liming Zhu Wei Liu 12 5 0 13 Oct 2020
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't E. Weinan Chao Ma Stephan Wojtowytsch Lei Wu AI4CE 125 134 0 22 Sep 2020
Deep Autoencoders: From Understanding to Generalization Guarantees Romain Cosentino Randall Balestriero Richard Baraniuk B. Aazhang 40 6 0 20 Sep 2020
An unsupervised deep learning framework via integrated optimization of representation learning and GMM-based modeling Jinghua Wang Jianmin Jiang SSL 49 12 0 11 Sep 2020
Algebraic Neural Networks: Stability to Deformations Alejandro Parada-Mayorga Alejandro Ribeiro 114 26 0 03 Sep 2020
A Short Review on Data Modelling for Vector Fields Jun Yu Li Wanrong Hong Yusheng Xiang 28 0 0 01 Sep 2020
Deep Networks and the Multiple Manifold Problem Sam Buchanan D. Gilboa John N. Wright 230 39 0 25 Aug 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 223 582 0 18 Aug 2020
Lie PCA: Density estimation for symmetric manifolds Jameson Cahill D. Mixon Hans Parshall 50 6 0 10 Aug 2020
Large-time asymptotics in deep learning Carlos Esteve Borjan Geshkovski Dario Pighin Enrique Zuazua 368 34 0 06 Aug 2020
$Generative networks as inverse problems with fractional wavelet scattering networks$ Generative networks as inverse problems with fractional wavelet scattering networks Jiasong Wu Jing Zhang Fuzhi Wu Youyong Kong Guanyu Yang L. Senhadji H. Shu GAN 35 1 0 28 Jul 2020