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Invariant Scattering Convolution Networks

5 March 2012

Joan Bruna

Papers citing "Invariant Scattering Convolution Networks"

50 / 490 papers shown

Title
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks Zachary Schlamowitz Andrew Bennecke Daniel J. Tward 29 0 0 27 May 2025
The Maximal Overlap Discrete Wavelet Scattering Transform and Its Application in Classification Tasks Leonardo Fonseca Larrubia Pedro Alberto Morettin Chang Chiann 7 0 0 23 May 2025
A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture Shang Wang Huanrong Tang Jianquan Ouyang 75 0 0 02 May 2025
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data David R. Johnson Smita Krishnaswamy Michael Perlmutter DiffM 86 0 0 08 Apr 2025
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis J. Marco-Blanco Rubén Cuevas AI4TS 73 0 0 24 Feb 2025
Digital implementations of deep feature extractors are intrinsically informative Max Getter 127 0 0 20 Feb 2025
Explainable and Class-Revealing Signal Feature Extraction via Scattering Transform and Constrained Zeroth-Order Optimization N. Saito David S. Weber 94 0 0 08 Feb 2025
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models Yunzhe Hu Difan Zou Dong Xu 123 1 0 26 Nov 2024
Simulation-based inference with scattering representations: scattering is all you need Kiyam Lin Benjamin Joachimi Jason D. McEwen 63 1 0 11 Oct 2024
Sparse Covariance Neural Networks Andrea Cavallo Zhan Gao Elvin Isufi 50 1 0 02 Oct 2024
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves Alessandro Lovo Amaury Lancelin Corentin Herbert Freddy Bouchet AI4CE 209 0 0 01 Oct 2024
Biomimetic Frontend for Differentiable Audio Processing Ruolan Leslie Famularo D. Zotkin S. Shamma R. Duraiswami AI4TS 78 0 0 13 Sep 2024
Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc 80 1 0 31 Jul 2024
Invariance of deep image quality metrics to affine transformations Nuria Alabau-Bosque Paula Daudén-Oliver Jorge Vila-Tomás Valero Laparra Jesús Malo 48 4 0 25 Jul 2024
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks Ayan Igali Pakizar Shamoi 73 4 0 23 Jul 2024
Learning Color Equivariant Representations Felix O'Mahony Yulong Yang Christine Allen-Blanchette 73 0 0 13 Jun 2024
Wearable Device-Based Real-Time Monitoring of Physiological Signals: Evaluating Cognitive Load Across Different Tasks Ling He Yanxin Chen Wenqi Wang Shuting He Xiaoqiang Hu 34 0 0 11 Jun 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 73 13 0 29 Apr 2024
Denoising: from classical methods to deep CNNs J. Campagne DiffM 59 0 0 25 Apr 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model Umberto M. Tomasini Matthieu Wyart BDL 94 7 0 16 Apr 2024
Multi-scale Unified Network for Image Classification Wenzhuo Liu Fei Zhu Cheng-Lin Liu CVBM 96 0 0 27 Mar 2024
Histogram Layers for Neural Engineered Features Joshua Peeples Salim Al Kharsa Luke Saleh Alina Zare 63 2 0 25 Mar 2024
Mean-Field Microcanonical Gradient Descent Marcus Häggbom Morten Karlsmark Joakim andén 59 0 0 13 Mar 2024
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks Sho Sonoda Isao Ishikawa Masahiro Ikeda 109 4 0 25 Feb 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales Shuren Qi Yushu Zhang Chao Wang Zhihua Xia Xiaochun Cao Jian Weng 63 1 0 23 Feb 2024
NeRF Solves Undersampled MRI Reconstruction Tae Jun Jang Chang Min Hyun 54 3 0 20 Feb 2024
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database Alessandro Licciardi Davide Carbone Politecnico di Torino 63 4 0 20 Feb 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 123 7 0 03 Feb 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 149 14 0 02 Feb 2024
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning Achref Jaziri Sina Ditzel Iuliia Pliushch Visvanathan Ramesh SSL 68 1 0 22 Nov 2023
Multiscale Hodge Scattering Networks for Data Analysis Naoki Saito Stefan C. Schonsheck Eugene Shvarts 64 2 0 17 Nov 2023
Improving Hand Recognition in Uncontrolled and Uncooperative Environments using Multiple Spatial Transformers and Loss Functions Wojciech Michal Matkowski Xiaojie Li A. Kong 53 2 0 09 Nov 2023
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 60 1 0 02 Nov 2023
LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning Jianchao Lu Yuzhe Tian Yang Zhang Jiaqi Ge Quan Z. Sheng 50 1 0 12 Oct 2023
Emergence of Segmentation with Minimalistic White-Box Transformers Yaodong Yu Tianzhe Chu Shengbang Tong Ziyang Wu Druv Pai Sam Buchanan Yi Ma ViT 44 22 0 30 Aug 2023
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations Sreyan Ghosh Chandra Kiran Reddy Evuru Sonal Kumar Utkarsh Tyagi Sakshi Singh Sanjoy Chowdhury Dinesh Manocha OOD 52 1 0 19 Aug 2023
Riesz feature representation: scale equivariant scattering network for classification tasks Tin Barisin Jesús Angulo K. Schladitz C. Redenbach 49 2 0 17 Jul 2023
Manifold Filter-Combine Networks Joyce A. Chew E. Brouwer Smita Krishnaswamy Deanna Needell Michael Perlmutter Michael Perlmutter GNN 82 0 0 08 Jul 2023
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model Francesco Cagnetta Leonardo Petrini Umberto M. Tomasini Alessandro Favero Matthieu Wyart BDL 114 26 0 05 Jul 2023
Scattering Spectra Models for Physics S. Cheng Rudy Morel Erwan Allys Brice Ménard S. Mallat 66 9 0 29 Jun 2023
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures Bruno Régaldo-Saint Blancard Michael Eickenberg 40 2 0 26 Jun 2023
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) Weizheng Qiao Yang Xu Hui Li 61 1 0 12 Jun 2023
White-Box Transformers via Sparse Rate Reduction Yaodong Yu Sam Buchanan Druv Pai Tianzhe Chu Ziyang Wu Shengbang Tong B. Haeffele Yi Ma ViT 102 87 0 01 Jun 2023
Pruning Distorted Images in MNIST Handwritten Digits Amarnath R Vinay Kumar 40 1 0 26 May 2023
Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders Ali Siahkoohi Rudy Morel Randall Balestriero Erwan Allys G. Sainton Taichi Kawamura Maarten V. de Hoop 141 2 0 25 May 2023
The Hessian perspective into the Nature of Convolutional Neural Networks Sidak Pal Singh Thomas Hofmann Bernhard Schölkopf 96 11 0 16 May 2023
Wavelet-Based Density Estimation for Persistent Homology Konstantin Häberle B. Bravi Anthea Monod 41 2 0 15 May 2023
Learning Structure Aware Deep Spectral Embedding Hira Yaseen Arif Mahmood 50 4 0 14 May 2023
Riesz networks: scale invariant neural networks in a single forward pass Tin Barisin K. Schladitz C. Redenbach 71 12 0 08 May 2023
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges Rui-Hua Zheng Jun Yu Li Yi Wang Tian Luo Yuguo Yu MedIm 67 5 0 26 Apr 2023