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2002.02534
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Fast inference of Boosted Decision Trees in FPGAs for particle physics
Journal of Instrumentation (JINST), 2020
5 February 2020
S. Summers
G. D. Guglielmo
Javier Mauricio Duarte
Philip C. Harris
Duc Hoang
S. Jindariani
E. Kreinar
Vladimir Loncar
J. Ngadiuba
M. Pierini
D. Rankin
N. Tran
Zhenbin Wu
AI4CE
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Papers citing
"Fast inference of Boosted Decision Trees in FPGAs for particle physics"
26 / 26 papers shown
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221
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TreeLUT: An Efficient Alternative to Deep Neural Networks for Inference Acceleration Using Gradient Boosted Decision Trees
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02 Jan 2025
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180
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Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout
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R. Herbst
236
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26 Apr 2024
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173
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19 Apr 2024
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George A. Constantinides
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Zhiqiang Que
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...
Arpita Seksaria
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333
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02 Feb 2024
PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference
International Conference on Field-Programmable Technology (ICFPT), 2023
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George A. Constantinides
275
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John Moon
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P. Faraboschi
Jim Ignowski
Catherine E. Graves
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G. D. Guglielmo
Javier Mauricio Duarte
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Yaman Umuroglu
Olivia Weng
Aidan Yokuda
Michaela Blott
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199
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Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml
Nicolò Ghielmetti
Vladimir Loncar
M. Pierini
Marcel Roed
S. Summers
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Christoffer Petersson
Hampus Linander
J. Ngadiuba
Kelvin Lin
Philip C. Harris
SSeg
305
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16 May 2022
Physics Community Needs, Tools, and Resources for Machine Learning
Philip C. Harris
E. Katsavounidis
W. McCormack
D. Rankin
Yongbin Feng
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De-huai Chen
Mark S. Neubauer
Javier Mauricio Duarte
G. Karagiorgi
Miaoyuan Liu
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177
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30 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
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P. Calafiura
G. Chachamis
G. Dezoort
Javier Mauricio Duarte
S. Ganguly
Michael Kagan
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Mark S. Neubauer
K. Terao
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367
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260
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Graph Neural Networks for Charged Particle Tracking on FPGAs
Abdelrahman Elabd
Vesal Razavimaleki
Shih-Yu Huang
Javier Mauricio Duarte
M. Atkinson
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Bo-Cheng Lai
Mark S. Neubauer
I. Ojalvo
S. Thais
Matthew Trahms
GNN
540
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03 Dec 2021
Applications and Techniques for Fast Machine Learning in Science
Frontiers in Big Data (Front. Big Data), 2021
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
286
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0
25 Oct 2021
Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics
Journal of Instrumentation (JINST), 2021
Tae Min Hong
B. Carlson
Brandon Eubanks
Stephen Racz
Stephen Roche
J. Stelzer
Daniel C. Stumpp
262
30
0
07 Apr 2021
Charged particle tracking via edge-classifying interaction networks
Computing and Software for Big Science (CSBS), 2021
G. Dezoort
S. Thais
Javier Mauricio Duarte
Vesal Razavimaleki
M. Atkinson
I. Ojalvo
Mark S. Neubauer
P. Elmer
391
58
0
30 Mar 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
F. Fahim
B. Hawks
C. Herwig
J. Hirschauer
S. Jindariani
...
J. Ngadiuba
Miaoyuan Liu
Duc Hoang
E. Kreinar
Zhenbin Wu
252
177
0
09 Mar 2021
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELM
AI4CE
240
225
0
02 Feb 2021
Fast convolutional neural networks on FPGAs with hls4ml
T. Aarrestad
Vladimir Loncar
Nicolò Ghielmetti
M. Pierini
S. Summers
...
N. Tran
Miaoyuan Liu
E. Kreinar
Zhenbin Wu
Duc Hoang
233
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0
13 Jan 2021
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Frontiers in Big Data (Front. Big Data), 2020
Y. Iiyama
G. Cerminara
Abhijay Gupta
J. Kieseler
Vladimir Loncar
...
Miaoyuan Liu
K. Pedro
N. Tran
E. Kreinar
Zhenbin Wu
258
80
0
08 Aug 2020
Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML
G. D. Guglielmo
Javier Mauricio Duarte
Philip C. Harris
Duc Hoang
S. Jindariani
...
D. Rankin
Sheila Sagear
S. Summers
N. Tran
Zhenbin Wu
MQ
321
109
0
11 Mar 2020
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