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Convolutional Neural Networks, Recurrent Neural Networks, and other deep learning approaches have achieved unprecedented performance on a broad range of problems (e.g. Computer Vision and Speech Recog…
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https://doi.org/10.1371/journal.pcbi.1005836 (preprint https://doi.org/10.1101/105957)
> New architectures of multilayer artificial neural networks and new methods for training them are rapidly rev…
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* [Link](https://arxiv.org/abs/1907.04490)
* Title: Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
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您好,代码有对应的参考文献或者说明文档吗,谢谢。
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Hello,
Thank you very much for sharing your code. I have read the two parts of Physics Informed Deep Learning work and I have tried to run the Navier-Stokes identification code but more than 12 hou…
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KAN: Kolmogorov-Arnold Networks [arxiv](https://arxiv.org/abs/2404.19756)
## Abstract
Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) a…
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# Interesting papers
## 카메라 포즈 찾기의 전쟁?
- [Pan 2024 - Global Structure-from-Motion Revisited](https://lpanaf.github.io/eccv24_glomap/)
- COLMAP의 저자 참여. COLMAP의 global mapping 파트 개선. 일주일 걸리는 …
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The main issue of Opposing Views is readability and believability, but I think the main content is there. I'm not convinced people have the attention span to read and appreciate all of this.
"Faith…