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### Description
Name of the 1st author is not bold.
### (Optional:) Please add any files, screenshots, or other information here.
_No response_
### (Required) What is this issue most closely relat…
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## リンク
https://arxiv.org/pdf/2404.19756v1
## 概要
多層パーセプトロンに代わる手法を提案。
活性化関数を学習可能にしている
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Proposal for adding support for Kolmogorov-Arnold Networks (KANs) in PyTorch. KANs are a promising alternative to traditional Multi-Layer Perceptrons (MLPs) and offer potential advantages in terms of …
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There seems to be a race to find the best implementation (currently 4) of KANs on the PyTorch side of the ML universe but there is a dearth of efforts on the JAX side (only 1 with flax). The flax impl…
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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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Integrate Kolmogorov-Arnold Networks (KANs) model for forward_triples
KAN(s,p,o) -> [0,1] forward triples
KAN(s,p) -> [0,....,] KvsAll
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**Is your feature request related to a problem? Please describe.**
This issue proposes to add support for pyKAN based models
Potential Estimators:
* [x] PyKAN based forecaster (simple forward K…
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### Is this a new feature, an improvement, or a change to existing functionality?
New Feature
### How would you describe the priority of this feature request
Low (would be nice)
### Please provide…
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https://medium.com/@saadsalmanakram/kolmogorov-arnold-networks-a-comprehensive-guide-to-neural-network-advancement-5919fc8f81b1
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### Description
Table 3 is not complete
### (Optional:) Please add any files, screenshots, or other information here.
_No response_
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hkqiu updated
4 months ago