Regularized optimal transport (OT) is now increasingly used as a loss or...
Many practical problems need the output of a machine learning model to
s...
U-Nets have been tremendously successful in many imaging inverse problem...
Deep neural networks have dramatically transformed machine learning, but...
Distributional representations of words, also known as word vectors, hav...
Neuromorphic Computing is a nascent research field in which models and
d...
Distributed representations of sentences have become ubiquitous in natur...
Distributed representations of words, better known as word embeddings, h...
Word vectors are at the core of many natural language processing tasks.
...
In the traditional framework of spectral learning of stochastic time ser...
We present a fast Compressive Sensing algorithm for the reconstruction o...