28 citations · 63 across the 8 of their papers we have counts for
5 papers · 1 filter
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
Nanosecond hardware regression trees in FPGA at the LHC
Pavel Serhiayenka, Stephen Roche, Benjamin Carlson +1
We present a generic parallel implementation of the decision tree-based machine learning (ML) method in hardware description language (HDL) on field programmable gate arrays (FPGA)…
Nanosecond anomaly detection with decision trees and real-time application to exotic Higgs decays
Stephen Roche, Quincy Bayer, Benjamin Carlson +4
We present an interpretable implementation of the autoencoding algorithm, used as an anomaly detector, built with a forest of deep decision trees on FPGA, field programmable gate a…
Nanosecond machine learning regression with deep boosted decision trees in FPGA for high energy physics
Benjamin Carlson, Quincy Bayer, Tae Min Hong +1
We present a novel application of the machine learning / artificial intelligence method called boosted decision trees to estimate physical quantities on field programmable gate arr…
Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics
Tae Min Hong, Benjamin Carlson, Brandon Eubanks +4
We present a novel implementation of classification using the machine learning / artificial intelligence method called boosted decision trees (BDT) on field programmable gate array…