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Symbolic Regression on FPGAs for Fast Machine Learning Inference
v1v2 (latest)

Symbolic Regression on FPGAs for Fast Machine Learning Inference

6 May 2023
Ho Fung Tsoi
Adrian Alan Pol
Vladimir Loncar
E. Govorkova
M. Cranmer
S. Dasu
P. Elmer
Philip C. Harris
I. Ojalvo
M. Pierini
ArXiv (abs)PDFHTML

Papers citing "Symbolic Regression on FPGAs for Fast Machine Learning Inference"

4 / 4 papers shown
Title
Symbolic Regression for Beyond the Standard Model Physics
Symbolic Regression for Beyond the Standard Model Physics
Shehu AbdusSalam
Steve Abel
M. Romão
121
6
0
28 May 2024
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression
Ho Fung Tsoi
Vladimir Loncar
S. Dasu
Philip C. Harris
204
3
0
18 Jan 2024
Ps and Qs: Quantization-aware pruning for efficient low latency neural
  network inference
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference
B. Hawks
Javier Mauricio Duarte
Nicholas J. Fraser
Alessandro Pappalardo
N. Tran
Yaman Umuroglu
MQ
52
51
0
22 Feb 2021
Automatic heterogeneous quantization of deep neural networks for
  low-latency inference on the edge for particle detectors
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
91
179
0
15 Jun 2020
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