Modern neural network architectures can leverage large amounts of data t...
Few-shot-learning seeks to find models that are capable of fast-adaptati...
Capturing the structure of a data-generating process by means of appropr...
Learning meaningful and compact representations with structurally
disent...
Sequential data often originates from diverse domains across which
stati...
We propose a novel procedure which adds "content-addressability" to any ...
While implicit generative models such as GANs have shown impressive resu...