Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods
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Publication:6181396
DOI10.1080/10618600.2022.2163649OpenAlexW4313495212MaRDI QIDQ6181396
Corinne Jones, Vincent Roulet, Zaid Harchaoui
Publication date: 22 January 2024
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/dataset/Revisiting_Convolutional_Neural_Networks_from_the_Viewpoint_of_Kernel-Based_Methods/21817923
stochastic optimizationsmoothing splinesartificial neural networksreproducing kernelskernel-based methodsreverse-mode automatic differentiation
Cites Work
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- A neural network model for the mechanism of feature-extraction. A self- organizing network with feedback inhibition
- On the limited memory BFGS method for large scale optimization
- Neocognition: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
- The matrix sign function and computations in systems
- Stable iterations for the matrix square root
- Bayesian learning for neural networks
- Approximation spaces of deep neural networks
- Functions of Matrices
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