The high-energy physics community is investigating the feasibility of
de...
The findable, accessible, interoperable, and reusable (FAIR) data princi...
A foundational set of findable, accessible, interoperable, and reusable
...
In this paper, we present a method of embedding physics data manifolds w...
Recurrent neural networks have been shown to be effective architectures ...
In this paper, we investigate how field programmable gate arrays can ser...
Machine learning algorithms are becoming increasingly prevalent and
perf...
Graph neural networks have been shown to achieve excellent performance f...
In the next decade, the demands for computing in large scientific experi...
We present the implementation of binary and ternary neural networks in t...
We describe the implementation of Boosted Decision Trees in the hls4ml
l...
Recent results at the Large Hadron Collider (LHC) have pointed to enhanc...