50 citations · 73 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 6 cited
Predicting Weather Uncertainty with Deep Convnets
Peter Grönquist, Tal Ben-Nun, Nikoli Dryden +4
Modern weather forecast models perform uncertainty quantification using ensemble prediction systems, which collect nonparametric statistics based on multiple perturbed simulations.…
cs.AR2019★ 17 cited
hlslib: Software Engineering for Hardware Design
Johannes de Fine Licht, Torsten Hoefler
High-level synthesis (HLS) tools have brought FPGA development into the mainstream, by allowing programmers to design architectures using familiar languages such as C, C++, and Ope…
cs.LG2019★ 50 cited
Augment your batch: better training with larger batches
Elad Hoffer, Tal Ben-Nun, Itay Hubara +3
Large-batch SGD is important for scaling training of deep neural networks. However, without fine-tuning hyperparameter schedules, the generalization of the model may be hampered. W…