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2008.03601
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Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
8 August 2020
Y. Iiyama
G. Cerminara
Abhijay Gupta
J. Kieseler
Vladimir Loncar
M. Pierini
S. Qasim
M. Rieger
S. Summers
G. Onsem
K. Wozniak
J. Ngadiuba
G. D. Guglielmo
Javier Mauricio Duarte
Philip C. Harris
D. Rankin
S. Jindariani
Miaoyuan Liu
K. Pedro
N. Tran
E. Kreinar
Zhenbin Wu
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Papers citing
"Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics"
26 / 26 papers shown
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Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
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A Dynamic Reduction Network for Point Clouds
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Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML
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Javier Mauricio Duarte
Philip C. Harris
Duc Hoang
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Sheila Sagear
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Zhenbin Wu
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11 Mar 2020
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data
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Fast inference of Boosted Decision Trees in FPGAs for particle physics
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G. D. Guglielmo
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Philip C. Harris
Duc Hoang
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N. Tran
Zhenbin Wu
AI4CE
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05 Feb 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
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Lei Deng
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GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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Benoit Steiner
Lu Fang
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ODL
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A Survey on Graph Processing Accelerators: Challenges and Opportunities
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Long Zheng
Bingsheng He
Cheng Liu
Xinyu Chen
Xiaofei Liao
Hai Jin
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26 Feb 2019
Graph Processing on FPGAs: Taxonomy, Survey, Challenges
Maciej Besta
Dimitri Stanojevic
Johannes de Fine Licht
Tal Ben-Nun
Torsten Hoefler
GNN
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25 Feb 2019
ParticleNet: Jet Tagging via Particle Clouds
H. Qu
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22 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
S. Qasim
J. Kieseler
Y. Iiyama
M. Pierini
54
135
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21 Feb 2019
Graph Neural Networks for IceCube Signal Classification
Nicholas Choma
Federico Monti
Lisa Gerhardt
T. Palczewski
Z. Ronaghi
P. Prabhat
W. Bhimji
M. Bronstein
S. Klein
Joan Bruna
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17 Sep 2018
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
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M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
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04 Jun 2018
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
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J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
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16 Apr 2018
Deep Learning using Rectified Linear Units (ReLU)
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22 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
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Minimum Energy Quantized Neural Networks
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Graph Attention Networks
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Trained Ternary Quantization
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Song Han
Huizi Mao
W. Dally
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Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
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09 Sep 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Shuchang Zhou
Yuxin Wu
Zekun Ni
Xinyu Zhou
He Wen
Yuheng Zou
MQ
112
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20 Jun 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
235
11,145
0
14 Mar 2016
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
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181
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02 Nov 2015
Adam: A Method for Stochastic Optimization
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Jimmy Ba
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