Neural Stochastic Differential Equations (NSDE) have been trained as bot...
We prove two universal approximation theorems for a range of dropout neu...
The definition of Linear Symmetry-Based Disentanglement (LSBD) proposed ...
Learning low-dimensional representations that disentangle the underlying...
In a series of articles, we have been developing a theory of tropical
di...
After endowing the space of diagrams of probability spaces with an entro...
Arrow contraction applied to a tropical diagram of probability spaces is...
We define a natural operation of conditioning of tropical diagrams of
pr...
A standard Variational Autoencoder, with a Euclidean latent space, is
st...