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It is sometimes useful (at least in my own work) to make posterior predictions of the derivative of a process or to make predictions of a process based on observations of the derivatives (see e.g. Ras…
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At this point, it would be interesting to run some benchmarks with simple kernels and moderately large datasets to see how this package compares to others in terms of performance. Other packages of in…
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https://arxiv.org/abs/1711.00165
- Jaehoon Lee, Yasaman Bahri, Roman Novak, Samuel S. Schoenholz, Jeffrey Pennington, Jascha Sohl-Dickstein
- Submitted on 1 Nov 2017
TMats updated
6 years ago
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In order to compare baseline performance vs. FSL eddy.
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Hi all,
I’ve been trying to implement a variational GP dynamical system (GPDS) using GPyTorch.
At this very first stage of my project, I haven't changed much from the GPLVM example provided in …
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# 📚 Documentation/Examples
Hi,
In the [Deep Gaussian Processes](https://github.com/cornellius-gp/gpytorch/blob/master/examples/05_Deep_Gaussian_Processes/Deep_Gaussian_Processes.ipynb) example,…
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I have a couple of example on my local machine of likelihoods for fitting 1D and 2D Gaussian processes to data. This is a pretty common problem, and it's also one where the posterior can (in rare situ…
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Hi, Thanks for your great work ! ! !
I want to ask that,
1. I didn't fully understand the design of your cross view loss. As far as I understand, you extract features from six panoramic images a…
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참조
* [nonparametric-methods.pdf](https://github.com/sweaterr/bayesian-methods-in-machine-learning/files/1730282/nonparametric-methods.pdf)
* [gaussian-processes.pdf](https://github.com/sweaterr/b…
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**Describe the bug**
A whole variety of periodic Gaussian tests are failing with LLVM offload. The restart tests are also failing.
These are in the nightlies and offloading to V100.
See : htt…