Pre-trained machine learning (ML) models have shown great performance fo...
Recent years have seen a surge in interest in building deep learning-bas...
The movement of large-scale (tens of Terabytes and larger) data sets bet...
The success of Convolutional Neural Networks (CNNs) in image classificat...
Probabilistic programming languages (PPLs) are receiving widespread atte...
Tasks involving the analysis of geometric (graph- and manifold-structure...
We present a novel framework that enables efficient probabilistic infere...
Machine learning is an important research area in particle physics, begi...
We consider the problem of Bayesian inference in the family of probabili...
There has been considerable recent activity applying deep convolutional
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This paper presents the first, 15-PetaFLOP Deep Learning system for solv...
Experiments in particle physics produce enormous quantities of data that...