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The current implementation of the neural network's training and forward propagation methods is not functioning correctly. Specifically, the methods do not align with the principles of Kolmogorov–Arnol…
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Are there ways of making tutorials for the following topics (in order of complexity):
- Classification tasks (rather than just regression) https://github.com/team-daniel/KAN
- Recommendation Algorit…
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How to use KAN for univariate time series prediction, would it be best to have an example code?
Due to the fact that KAN appears to effectively solve the approximation of non smooth functions and l…
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Right now the ChebyKAN implementation is the fastest one. You are not including it in your README. If you want to claim that you are the fastest you should provide evidence that supports it. Specially…
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Surbhi and I plan to spend more time explaining the theory of NNs with more focus on:
- Datasets. Dimensions.
- An expanded introduction:
- Potential applications. What NNs can do...
- Other a…
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## Subject: Feature Request: Implementation of Kolmogorov Arnold Networks (KAN)
Dear mlpack Team,
I am interested in the potential implementation of Kolmogorov Arnold Networks (KAN) within the m…
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## Description:
This issue proposes an enhancement to the Kolmogorov-Arnold Networks (KAN) architecture that involves the development of an automated method for converting trained models into symboli…
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I read your brilliant paper "A deep-learning algorithm to disentangle self-interacting dark matter and AGN feedback models" and was thoroughly impressed. Any chance you could share the `allSimData_bin…
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Not sure about the inference speed yet, but maybe worth trying
https://arxiv.org/pdf/2404.19756
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Hi, it seems there is an incorrect link in the Related Work section of the paper. In Part 6, the paper states:
"...merging KAN with GNN for graph-related tasks [13]", but the link incorrectly point…