Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1902.10810
Cited By
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation
27 February 2019
Geoffrey C. Fox
J. Glazier
J. Kadupitiya
V. Jadhao
Minje Kim
J. Qiu
J. Sluka
Endre Somogy
Madhav Marathe
Abhijin Adiga
Jiangzhuo Chen
O. Beckstein
S. Jha
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation"
20 / 20 papers shown
Title
Machine Learning of coarse-grained Molecular Dynamics Force Fields
Jiang Wang
Simon Olsson
C. Wehmeyer
Adria Pérez
Nicholas E. Charron
Gianni De Fabritiis
Frank Noe
C. Clementi
AI4CE
38
404
0
04 Dec 2018
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Amrita Mathuriya
Deborah Bard
P. Mendygral
Lawrence Meadows
James A. Arnemann
...
Nalini Kumar
S. Ho
Michael F. Ringenburg
P. Prabhat
Victor W. Lee
AI4CE
50
125
0
14 Aug 2018
Deep learning to represent sub-grid processes in climate models
S. Rasp
Michael S. Pritchard
Pierre Gentine
AI4Cl
AI4CE
43
727
0
12 Jun 2018
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
Langshi Chen
Bo Peng
Sabra Ossen
A. Vullikanti
Madhav Marathe
Lei Jiang
J. Qiu
20
5
0
25 Apr 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
Rohit Tripathy
Ilias Bilionis
AI4CE
60
406
0
02 Feb 2018
Less is more: sampling chemical space with active learning
Justin S. Smith
B. Nebgen
Nicholas Lubbers
Olexandr Isayev
A. Roitberg
54
613
0
28 Jan 2018
The Case for Learned Index Structures
Tim Kraska
Alex Beutel
Ed H. Chi
J. Dean
N. Polyzotis
68
1,035
0
04 Dec 2017
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
78
612
0
28 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
75
924
0
28 Nov 2017
A machine learning approach for efficient uncertainty quantification using multiscale methods
Shing Chan
A. Elsheikh
62
72
0
12 Nov 2017
Combining Machine Learning and Physics to Understand Glassy Systems
S. Schoenholz
AI4CE
40
20
0
23 Sep 2017
DGM: A deep learning algorithm for solving partial differential equations
Justin A. Sirignano
K. Spiliopoulos
AI4CE
84
2,059
0
24 Aug 2017
Deep Learning the Ising Model Near Criticality
A. Morningstar
R. Melko
AI4CE
37
87
0
15 Aug 2017
Machine Learning Molecular Dynamics for the Simulation of Infrared Spectra
M. Gastegger
J. Behler
P. Marquetand
AI4CE
31
334
0
16 May 2017
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
Anuj Karpatne
G. Atluri
James H. Faghmous
M. Steinbach
A. Banerjee
A. Ganguly
Shashi Shekhar
N. Samatova
Vipin Kumar
AI4CE
51
981
0
27 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
743
5,798
0
05 Dec 2016
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
Tong Xiao
Hongsheng Li
Wanli Ouyang
Xiaogang Wang
OOD
77
977
0
26 Apr 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
736
9,290
0
06 Jun 2015
Accurate estimation of influenza epidemics using Google search data via ARGO
Shihao Yang
Mauricio Santillana
S. C. Kou
54
344
0
05 May 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
324
10,050
0
10 Feb 2015
1