Description: Website for the Deep Learning for Physical Sciences (DLPS) workshop at the 31st Conference on Neural Information Processing Systems (NeurIPS), Long Beach, CA, United States
Workshop at the 31st Conference on Neural Information Processing Systems (NeurIPS) December 8, 2017
Physical sciences span problems and challenges at all scales in the universe: from finding exoplanets and asteroids in trillions of sky-survey pixels, to automatic tracking of extreme weather phenomena in climate datasets, to detecting anomalies in event streams from the Large Hadron Collider at CERN. Tackling a number of associated data-intensive tasks, including, but not limited to, regression, classification, clustering, dimensionality reduction, likelihood-free inference, generative models, and experime
We will discuss research questions, practical implementation challenges, performance / scaling, and unique aspects of processing and analyzing scientific datasets. The target audience comprises members of the machine learning community who are interested in scientific applications and researchers in the physical sciences. By bringing together these two communities, we expect to strengthen dialogue, introduce exciting new open problems to the wider NeurIPS community, and stimulate production of new approache