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JAXsim currently focuses only on sampling performance, exploiting `jax.jit` and `jax.vmap`. Being written in JAX, the forward step of the simulation should be differentiable (also considering contact …
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Hello,
wonderful piece of software! So far I seem to have found a way to actually use a software for road bike routing!
Back to topic. I use OsmAnd and use it for voice guidance most of the time. T…
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The purpose of this task is to assess the state of the art usage of ChatGPT. As big-AGI is making AGI tools, and there is no OpenAI documentation, we ask ChatGPT the instructions for their tools usage…
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Issue reported by Nicolas Legendre (https://github.com/NicolasLegendre1)
For this code:
![image](https://user-images.githubusercontent.com/8267869/128795411-3d82704f-0be6-4be1-810b-cd9444dbd179.pn…
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Would it make sense to be able to autodiff through `knn`s?
I tried using `ForwardDiff`
```julia
using NearestNeighbors
using ForwardDiff
data = rand(3, 10^3)
kdtree = KDTree(data)
Forward…
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https://arxiv.org/pdf/1505.07818.pdf
We introduce a new representation learning approach for domain adaptation, in which data at training and test time come from similar but different distributions…
leo-p updated
7 years ago
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The entropy of a Gaussian distribution is
**k/2 * log(2 * pi * e) + 1/2 * log(|Sigma|)** according to the [Wikipedia ](https://en.wikipedia.org/wiki/Multivariate_normal_distribution) where k is the …
xuehy updated
6 years ago
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The attacker API here can be made more simple, imho, if the adversarial training were implemented in `tf.keras.Model.train_step`. That function is called by `fit()`on every batch of data.
By using …
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# Overview
Since a distributions has to be re-implemented here and the focus is on AD, I was wondering if it would be of any interested to add reparameterization to `Distribution`. In AD-context you …