Alexander Terenin

I've got the same situation. As a workaround, I can add the following code to my scripts while developing ``` if isdefined(@__MODULE__,:LanguageServer) include("/path/to/source/file.jl") include("/path/to/source/file_2.jl") end ``` and the linter starts...

+1. Please allow this the math engine to be disabled completely. I use KaTeX, which is lighter and substantially preferable than MathJax for my site.

Yes, that line, though this is not the only ambiguous one. My point is that the random ODE dX(\omega, t) / dt = f(X(\omega, t), t) + B(\omega,t) where B...

Sorry, I should be more clear - my previous comment used poor notation for temporal white noise. The issue here isn't about nitpicking details of definitions - that is a...

Yes, that one. In particular ``` Wiener Process (White Noise) The WienerProcess, also known as Gaussian white noise, Brownian motion, or the noise in the Langevin equation, is the stationary...

How difficult is this anticipated to be? Are we essentially looking at a rewrite of PyBullet in Julia? We're porting a MuJoCo model to Bullet right now because our lab...

Your timing is impeccable: I literally just wrote the following code. ```julia spectral_measure(k::ScaledKernel) = spectral_measure(k.kernel) spectral_measure(k::TransformedKernel{

> I only need the 1D case, so based on your code I did the following: > > ```julia > # Spectral density for 1D covariance functions > # Using...

> Yes, the normalization is indeed a nice idea. I was thinking about random Fourier features as well. > > > One can also get results for most other classes...

> > The only way I can imagine that it would not be possible to derive a kernel based on the final domain would be something like > > ```julia...