130 citations · 284 across the 5 of their papers we have counts for
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cs.PL2019★ 130 cited
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
Mike Innes, Alan Edelman, Keno Fischer +4
Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large amounts of data. At the same time, machine learning model…
cs.PL2018★ 127 cited
Fashionable Modelling with Flux
Michael Innes, Elliot Saba, Keno Fischer +6
Machine learning as a discipline has seen an incredible surge of interest in recent years due in large part to a perfect storm of new theory, superior tooling, renewed interest in…
cs.PL2018★ 9 cited
Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs
Keno Fischer, Elliot Saba
Google's Cloud TPUs are a promising new hardware architecture for machine learning workloads. They have powered many of Google's milestone machine learning achievements in recent y…