Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2003.06308
Cited By
Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML
11 March 2020
G. D. Guglielmo
Javier Mauricio Duarte
Philip C. Harris
Duc Hoang
S. Jindariani
E. Kreinar
Miaoyuan Liu
Vladimir Loncar
J. Ngadiuba
K. Pedro
M. Pierini
D. Rankin
Sheila Sagear
S. Summers
N. Tran
Zhenbin Wu
MQ
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML"
15 / 15 papers shown
Title
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Sanghwan Bae
Jiwoo Hong
Min Young Lee
Hanbyul Kim
Jeongyeon Nam
Donghyun Kwak
OffRL
LRM
53
0
0
04 Apr 2025
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices
Romina Soledad Molina
Vukan Ninkovic
D. Vukobratović
Maria Liz Crespo
Marco Zennaro
45
0
0
12 Feb 2025
NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable Functions
Marta Andronic
George A. Constantinides
29
5
0
29 Feb 2024
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments
Vivswan Shah
Nathan Youngblood
41
2
0
04 Feb 2024
Fast Neural Network Inference on FPGAs for Triggering on Long-Lived Particles at Colliders
A. Coccaro
Francesco Armando Di Bello
S. Giagu
L. Rambelli
Nicola Stocchetti
27
5
0
11 Jul 2023
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
Javier Campos
Zhen Dong
Javier Mauricio Duarte
A. Gholami
Michael W. Mahoney
Jovan Mitrevski
Nhan Tran
MQ
32
3
0
13 Apr 2023
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
Elham E Khoda
D. Rankin
R. Teixeira de Lima
Philip C. Harris
Scott Hauck
...
Chaitanya Paikara
R. Rao
S. Summers
C. Vernieri
Aaron Wang
AI4CE
20
16
0
01 Jul 2022
Physics Community Needs, Tools, and Resources for Machine Learning
Philip C. Harris
E. Katsavounidis
W. McCormack
D. Rankin
Yongbin Feng
...
De-huai Chen
Mark S. Neubauer
Javier Mauricio Duarte
G. Karagiorgi
Miaoyuan Liu
AI4CE
25
3
0
30 Mar 2022
Graph Neural Networks for Charged Particle Tracking on FPGAs
Abdelrahman Elabd
Vesal Razavimaleki
Shih-Yu Huang
Javier Mauricio Duarte
M. Atkinson
...
Bo-Cheng Lai
Mark S. Neubauer
I. Ojalvo
S. Thais
Matthew Trahms
GNN
36
35
0
03 Dec 2021
Charged particle tracking via edge-classifying interaction networks
G. Dezoort
S. Thais
Javier Mauricio Duarte
Vesal Razavimaleki
M. Atkinson
I. Ojalvo
Mark S. Neubauer
P. Elmer
25
46
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
30
129
0
09 Mar 2021
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELM
AI4CE
27
178
0
02 Feb 2021
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Y. Iiyama
G. Cerminara
Abhijay Gupta
J. Kieseler
Vladimir Loncar
...
Miaoyuan Liu
K. Pedro
N. Tran
E. Kreinar
Zhenbin Wu
11
66
0
08 Aug 2020
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
C. Coelho
Aki Kuusela
Shane Li
Zhuang Hao
T. Aarrestad
Vladimir Loncar
J. Ngadiuba
M. Pierini
Adrian Alan Pol
S. Summers
MQ
32
175
0
15 Jun 2020
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
80
387
0
16 Apr 2018
1