ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.08055
  4. Cited By
Building high accuracy emulators for scientific simulations with deep
  neural architecture search

Building high accuracy emulators for scientific simulations with deep neural architecture search

17 January 2020
M. F. Kasim
D. Watson‐Parris
L. Deaconu
Sophy Oliver
P. Hatfield
D. Froula
G. Gregori
Matt Jarvis
S. Khatiwala
J. Korenaga
J. Topp-Mugglestone
E. Viezzer
S. Vinko
    AI4CE
ArXivPDFHTML

Papers citing "Building high accuracy emulators for scientific simulations with deep neural architecture search"

14 / 14 papers shown
Title
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
Andrew Bolt
C. Huston
Petra Kuhnert
J. Dabrowski
J. Hilton
Conrad Sanderson
AI4TS
85
11
0
17 Jun 2022
Efficient Parameter Sampling for Neural Network Construction
Efficient Parameter Sampling for Neural Network Construction
Drimik Roy Chowdhury
M. F. Kasim
BDL
34
2
0
22 Dec 2019
Improved Surrogates in Inertial Confinement Fusion with Manifold and
  Cycle Consistencies
Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies
Rushil Anirudh
Jayaraman J. Thiagarajan
P. Bremer
B. Spears
AI4CE
24
40
0
17 Dec 2019
The Convergence Rate of Neural Networks for Learned Functions of
  Different Frequencies
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies
Ronen Basri
David Jacobs
Yoni Kasten
S. Kritchman
49
216
0
02 Jun 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
78
1,865
0
02 Dec 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
115
9,312
0
09 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
78
2,761
0
09 Feb 2018
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
105
3,128
0
29 Nov 2017
Concrete Dropout
Concrete Dropout
Y. Gal
Jiri Hron
Alex Kendall
BDL
UQCV
129
587
0
22 May 2017
By-passing the Kohn-Sham equations with machine learning
By-passing the Kohn-Sham equations with machine learning
Felix Brockherde
Leslie Vogt
Li Li
M. Tuckerman
K. Burke
K. Müller
AI4CE
41
606
0
09 Sep 2016
The CMA Evolution Strategy: A Tutorial
The CMA Evolution Strategy: A Tutorial
N. Hansen
54
1,362
0
04 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
476
9,233
0
06 Jun 2015
Fast and Accurate Modeling of Molecular Atomization Energies with
  Machine Learning
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
M. Rupp
A. Tkatchenko
K. Müller
O. A. von Lilienfeld
AI4CE
120
1,581
0
12 Sep 2011
1