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Hi,
I'm wondering if there's a way to implement the Gaussian kernel for convolution on images using the current version of DrJit. While using a for loop is a straightforward approach, it can potent…
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I have written the following code for fitting a simple GP
```julia
using Mamba
## Model Specification
function kernel_with_noise(x,y,s2)
dist = exp((-(x-y)^2))
if x != y
dist
else
…
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Hi,
First of all, thank you very much for open-sourcing such excellent work.
I've been working on a point cloud densification process, and I noticed that during the cloning of points, the new points…
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Hi,
I wonder if there are any examples for Deep GP for classification.
I build a code that followed the example for regression. However, in classification tasks, it seems like the model cannot …
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### Describe the workflow you want to enable
I would like to monitor the progress of my fit function for a Gaussian Process.
### Describe your proposed solution
if verbose >= 1 print the parameter…
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Hi! Thanks for your great work!
But I have some issues with this pacakage.
I try to import torch and transform tensor to CUDA after I install package, but it error like the image below
![image](htt…
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Hey Paul,
I'm wondering if there are any plans to implement [linear functionals](https://stat.ethz.ch/R-manual/R-devel/library/mgcv/html/linear.functional.terms.html) of gaussian process as is impl…
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Gabor kernel is missing in the gaussian process package. The covariance function is parameterized as: `k(x, x') = exp(-||x - x'||^2 / (2*l^2)) cos(2*pi*||x - x'|| / p)` in which the hyperparameters ar…
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A simple linear kernel is lacking in Gaussian Processes, that is `K(x, x') = (x - c)(x' - c)
From http://www.cs.toronto.edu/~duvenaud/cookbook/index.html it is useful in modelling linear functions …
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