pykan

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What happen when all losses turn to nan????

4

I use the latest pykan. Multikan is amazing to fit more complicted physical problems. But when I use the multiKan, I find a weired problem. The multiKan seems to turn...

chen-erqi

Manufacturing Dataset Model does not perform at all

2

Hello, I am working on a research problem regarding a manufacturing process that can be solved as a regression. The dataset consists of 4 Input columns (e.g. pressure, depth) like...

meeen

Linearize first layer

2

I want to linearize my first later and combine the outputs of my first layer to a single activation function in the second layer. Would this be possible. i tried...

ijazaslamsha

Why do you need test data in fit?

2

Hi! Why do we need to provide both training and test data as input when training? As if in classical models you only need to pass training input and training...

MDcod

Training for regression with unknown target labels

1

I'm trying to train the KAN model with a special loss function. I want the KAN to produce 10 outputs, which are then fed to a function f, which takes...

FedeHR

My case can be run on 2080s and cpu. But it fail in L40. And the performance of KAN is different between cpu and 2080s. Could anyone please to explain...

chen-erqi

Copying KAN models

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How can I copy a KAN Model? I am trying to copy a pruned model, but is encountering errors. I cannot explicitly rebuild the model as it is automatically pruned...

Arjeus

Question regarding special functions?

1

Good morning, I'd like to know more about the testing conducted with the special functions. I'm trying to run similar tests myself, and I noticed that the output of the...

DavidEnriqueNieves

维度不一致

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lock_id = self.act_fun[l].lock_id[j * self.width[l] + i].long().item()出现索引值 超出了张量第一个维度的范围

TQY-KC

the experiment code about fitting LANs to images

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This is an extremely exciting work, which allows us to fit functions with interpretable symbols, which is bound to bring a new perspective to image processing and representation, such as...

yeruoforever