Autoencoder–Based Image Representation Learning with Kolmogorov–Arnold Networks
Autoencoders are widely used for learning compact latent representations of images. While convolutional architectures dominate this area due to their ability to exploit spatial locality, recent developments in neural network design have introduced Kolmogorov–Arnold networks (KANs), which replace fix...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Sciendo
2026-06-01
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| Серии: | International Journal of Applied Mathematics and Computer Science |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.61822/amcs-2026-0019 |
| Метки: |
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