Both the path integral measure in field theory and ensembles of neural
n...
We apply Bayesian optimization and reinforcement learning to a problem i...
An approach to field theory is studied in which fields are comprised of ...
We study infinite limits of neural network quantum states (∞-NNQS),
whic...
Parameter-space and function-space provide two different duality frames ...
We introduce natural language processing into the study of knot theory, ...
We propose a theoretical understanding of neural networks in terms of
Wi...