Understanding Deep Convolutional Networks

19 January 2016

Papers citing "Understanding Deep Convolutional Networks"

50 / 89 papers shown

Title
Digital implementations of deep feature extractors are intrinsically informative Max Getter 65 0 0 20 Feb 2025
Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators Tony Lindeberg 41 2 0 08 May 2024
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling Nicholas Galioto Harsh Sharma Boris Kramer Alex Arkady Gorodetsky 44 0 0 23 Jan 2024
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 39 30 0 29 May 2023
SSN: Stockwell Scattering Network for SAR Image Change Detection Gong Chen Yanan Zhao Yi Wang Kim-Hui Yap 9 8 0 22 Apr 2023
A priori compression of convolutional neural networks for wave simulators Hamza Boukraichi N. Akkari F. Casenave David Ryckelynck 23 2 0 11 Apr 2023
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields T. Lindeberg 34 11 0 17 Mar 2023
VC dimensions of group convolutional neural networks P. Petersen A. Sepliarskaia VLM 34 7 0 19 Dec 2022
Asymptotic Analysis of Deep Residual Networks R. Cont Alain Rossier Renyuan Xu 29 4 0 15 Dec 2022
Attention-Based Scattering Network for Satellite Imagery Jason Stock Chuck Anderson 26 0 0 21 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 28 10 0 29 Sep 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks Hubert Leterme K. Polisano V. Perrier Alahari Karteek FAtt 43 2 0 19 Sep 2022
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability Jorge S. S. Júnior Jérôme Mendes F. Souza C. Premebida AI4CE 23 9 0 09 Sep 2022
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis P. Braca L. Millefiori A. Aubry S. Maranò A. De Maio P. Willett 39 12 0 22 Jul 2022
Learning sparse features can lead to overfitting in neural networks Leonardo Petrini Francesco Cagnetta Eric Vanden-Eijnden Matthieu Wyart MLT 47 23 0 24 Jun 2022
Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS Leonardos Pantiskas K. Verstoep Mark Hoogendoorn Henri E. Bal 39 6 0 04 Apr 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 36 7 0 25 Feb 2022
GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection Giovanni Bocchi Patrizio Frosini Alessandra Micheletti A. Pedretti Carmen Gratteri Filippo Lunghini A. Beccari Carmine Talarico 25 7 0 31 Jan 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next S. Cuomo Vincenzo Schiano Di Cola F. Giampaolo G. Rozza Maizar Raissi F. Piccialli PINN 31 1,190 0 14 Jan 2022
Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach Christos N. Mavridis John S. Baras 26 1 0 04 Dec 2021
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 33 12 0 02 Dec 2021
Graphs as Tools to Improve Deep Learning Methods Carlos Lassance Myriam Bontonou Mounia Hamidouche Bastien Pasdeloup Lucas Drumetz Vincent Gripon GNN AI4CE AAML 47 0 0 08 Oct 2021
Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions Tong Mao Zhongjie Shi Ding-Xuan Zhou 21 33 0 02 Jul 2021
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic Nidhi Gowdra R. Sinha Stephen G. MacDonell W. Yan 21 9 0 27 Jun 2021
Scaling Properties of Deep Residual Networks A. Cohen R. Cont Alain Rossier Renyuan Xu 30 18 0 25 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger Matthieu Wyart OOD 38 15 0 06 May 2021
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization Mengmeng Xu Juan-Manuel Perez-Rua Xiatian Zhu Guohao Li Brais Martinez 17 27 0 28 Mar 2021
DeepGreen: Deep Learning of Green's Functions for Nonlinear Boundary Value Problems Craig Gin D. Shea Steven L. Brunton J. Nathan Kutz 20 87 0 31 Dec 2020
Data-driven rogue waves and parameter discovery in the defocusing NLS equation with a potential using the PINN deep learning Li Wang Zhenya Yan 27 80 0 18 Dec 2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 40 35 0 12 Dec 2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study Harold Erbin Riccardo Finotello 21 31 0 30 Jul 2020
Geometric compression of invariant manifolds in neural nets J. Paccolat Leonardo Petrini Mario Geiger Kevin Tyloo Matthieu Wyart MLT 57 34 0 22 Jul 2020
Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques Vincent Lostanlen Christian El-Hajj Mathias Rossignol G. Lafay Joakim Andén Mathieu Lagrange 15 12 0 21 Jul 2020
Neural Anisotropy Directions Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 34 16 0 17 Jun 2020
Stability for the Training of Deep Neural Networks and Other Classifiers L. Berlyand P. Jabin C. A. Safsten 19 7 0 10 Feb 2020
PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations O. Pannekoucke Ronan Fablet AI4CE PINN DiffM 24 8 0 03 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 35 424 0 20 Jan 2020
Understanding and mitigating gradient pathologies in physics-informed neural networks Sizhuang He Yujun Teng P. Perdikaris AI4CE PINN 42 290 0 13 Jan 2020
Deep Learning via Dynamical Systems: An Approximation Perspective Qianxiao Li Ting Lin Zuowei Shen AI4TS AI4CE 30 107 0 22 Dec 2019
Deep Learning Models for Global Coordinate Transformations that Linearize PDEs Craig Gin Bethany Lusch Steven L. Brunton J. Nathan Kutz 27 39 0 07 Nov 2019
Deep Learning for space-variant deconvolution in galaxy surveys F. Sureau Alexis Lechat Jean-Luc Starck 3DPC 25 21 0 01 Nov 2019
Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network Anjith George Z. Mostaani David Geissenbuhler Olegs Nikisins André Anjos S´ebastien Marcel CVBM AAML 57 213 0 19 Sep 2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty Jiayun Wang Stella X. Yu 19 15 0 24 Jun 2019
Learning Symmetries of Classical Integrable Systems Roberto Bondesan A. Lamacraft 22 39 0 11 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
Machine learning in acoustics: theory and applications Michael J. Bianco Peter Gerstoft James Traer Emma Ozanich M. Roch Sharon Gannot Charles-Alban Deledalle AI4CE 36 376 0 11 May 2019
A Statistical Investigation of Long Memory in Language and Music Alexander Greaves-Tunnell Zaïd Harchaoui AI4TS 32 24 0 08 Apr 2019
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs Gitta Kutyniok P. Petersen Mones Raslan R. Schneider 33 197 0 31 Mar 2019
Mean Field Analysis of Deep Neural Networks Justin A. Sirignano K. Spiliopoulos 22 81 0 11 Mar 2019
From Dark Matter to Galaxies with Convolutional Networks Xinyue Zhang Yanfang Wang Wei Zhang Yueqiu Sun Siyu He Gabriella Contardo F. Villaescusa-Navarro S. Ho OOD 27 43 0 15 Feb 2019