18 citations · 22 across the 4 of their papers we have counts for
3 papers · 1 filter
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman +13
Deep learning methods are transforming research, enabling new techniques, and ultimately leading to new discoveries. As the demand for more capable AI models continues to grow, we…
Comprehensive Exploration of Synthetic Data Generation: A Survey
André Bauer, Simon Trapp, Michael Stenger +5
Recent years have witnessed a surge in the popularity of Machine Learning (ML), applied across diverse domains. However, progress is impeded by the scarcity of training data due to…
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field
André Bauer, Mark Leznik, Michael Stenger +4
In many areas of decision-making, forecasting is an essential pillar. Consequently, many different forecasting methods have been proposed. From our experience, recently presented f…