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2110.13041
Cited By
Applications and Techniques for Fast Machine Learning in Science
25 October 2021
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
Javier Mauricio Duarte
Philip C. Harris
Scott Hauck
Miaoyuan Liu
Mark S. Neubauer
J. Ngadiuba
Seda Ogrenci-Memik
M. Pierini
T. Aarrestad
S. Bähr
Jürgen Becker
A. Berthold
R. Bonventre
Tomas E. Muller Bravo
M. Diefenthaler
Zhen Dong
Nick Fritzsche
A. Gholami
E. Govorkova
K. Hazelwood
C. Herwig
B. Khan
Sehoon Kim
T. Klijnsma
Yaling Liu
K. Lo
Tri Nguyen
G. Pezzullo
Seyedramin Rasoulinezhad
R. Rivera
K. Scholberg
Justin Selig
Sougata Sen
D. Strukov
William Tang
S. Thais
K. Unger
R. Vilalta
B. Krosigk
T. Warburton
M. Acosta Flechas
Anthony Aportela
Thomas Calvet
L. Cristella
Daniel Madrigal Diaz
C. Doglioni
M. D. Galati
Elham E Khoda
F. Fahim
Davide Giri
B. Hawks
Duc Hoang
B. Holzman
Shih-Chieh Hsu
S. Jindariani
I. Johnson
Raghav Kansal
Ryan Kastner
E. Katsavounidis
J. Krupa
Pan Li
Sandeep Madireddy
Ethan Marx
Patric McCormack
Andres Meza
Jovan Mitrevski
M. A. Mohammed
Farouk Mokhtar
Eric A. Moreno
S. Nagu
R. Narayan
N. Palladino
Zhiqiang Que
Sang Eon Park
S. Ramamoorthy
D. Rankin
Simon Rothman
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
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Papers citing
"Applications and Techniques for Fast Machine Learning in Science"
22 / 22 papers shown
Title
HyperFast: Instant Classification for Tabular Data
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D. M. Montserrat
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Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak
Yumou Wei
Ryan F. Forelli
Chris Hansen
Jeffrey P. Levesque
Nhan Tran
Joshua C. Agar
G. D. Guglielmo
M. Mauel
G. Navratil
18
4
0
30 Nov 2023
Confident Feature Ranking
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Y. Benjamini
FAtt
19
3
0
28 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
24
3
0
13 Apr 2023
Do graph neural networks learn traditional jet substructure?
Farouk Mokhtar
Raghav Kansal
Javier Mauricio Duarte
GNN
34
11
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17 Nov 2022
Data Science and Machine Learning in Education
G. Benelli
Thomas Y. Chen
Javier Mauricio Duarte
Matthew Feickert
Matthew Graham
...
K. Terao
S. Thais
A. Roy
J. Vlimant
G. Chachamis
AI4CE
26
5
0
19 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
17
3
0
30 Mar 2022
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
36
113
0
07 Dec 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
141
684
0
31 Jan 2021
Hessian-Aware Pruning and Optimal Neural Implant
Shixing Yu
Z. Yao
A. Gholami
Zhen Dong
Sehoon Kim
Michael W. Mahoney
Kurt Keutzer
49
59
0
22 Jan 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
J. Pata
Javier Mauricio Duarte
J. Vlimant
M. Pierini
M. Spiropulu
107
76
0
21 Jan 2021
I-BERT: Integer-only BERT Quantization
Sehoon Kim
A. Gholami
Z. Yao
Michael W. Mahoney
Kurt Keutzer
MQ
96
341
0
05 Jan 2021
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,705
0
18 Mar 2020
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
188
1,027
0
06 Mar 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
227
575
0
12 Sep 2019
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
75
386
0
16 Apr 2018
All-Optical Machine Learning Using Diffractive Deep Neural Networks
Xing Lin
Y. Rivenson
N. Yardimci
Muhammed Veli
Mona Jarrahi
Aydogan Ozcan
61
1,628
0
14 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
316
1,047
0
10 Feb 2017
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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