Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml

no code implementations • 1 Jul 2022 • Elham E Khoda, Dylan Rankin, Rafael Teixeira de Lima, Philip Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang

Recurrent neural networks have been shown to be effective architectures for many tasks in high energy physics, and thus have been widely adopted.

Sequence-based Machine Learning Models in Jet Physics

no code implementations • 9 Feb 2021 • Rafael Teixeira de Lima

Sequence-based modeling broadly refers to algorithms that act on data that is represented as an ordered set of input elements.

BIG-bench Machine Learning Clustering