default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBethany Lusch
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c8]Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. CCGrid 2024: 478-488- [e1]Michael Bader, Anshu Dubey, Bethany Lusch:
Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, PP 2024, Baltimore, MD, USA, March 5-8, 2024. SIAM 2024, ISBN 978-1-61197-796-7 [contents] - [i12]Shivam Barwey, Pinaki Pal, Saumil Patel, Riccardo Balin, Bethany Lusch, Venkatram Vishwanath, Romit Maulik, Ramesh Balakrishnan:
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks. CoRR abs/2409.07769 (2024) - [i11]Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath:
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling. CoRR abs/2410.01657 (2024) - 2023
- [j2]Madhur Tiwari
, George Nehma, Bethany Lusch:
Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems for Control. IEEE Control. Syst. Lett. 7: 3373-3378 (2023) - [i10]Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. CoRR abs/2306.09457 (2023) - [i9]Madhur Tiwari, George Nehma, Bethany Lusch:
Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems For Control. CoRR abs/2309.04074 (2023) - 2022
- [j1]Romit Maulik, Dimitrios Fytanidis, Bethany Lusch, Venkatram Vishwanath, Saumil Patel:
PythonFOAM: In-situ data analyses with OpenFOAM and Python. J. Comput. Sci. 62: 101750 (2022) - [c7]Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems. CCGRID 2022: 716-725 - [c6]Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash:
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. ICPR 2022: 1908-1914 - 2021
- [c5]Varuni Katti Sastry, Romit Maulik, Vishwas Rao, Bethany Lusch, S. Ashwin Renganathan, Rao Kotamarthi:
Data-Driven Deep Learning Emulators for Geophysical Forecasting. ICCS (5) 2021: 433-446 - [i8]Romit Maulik, Dimitrios Fytanidis, Bethany Lusch, Venkatram Vishwanath, Saumil Patel:
PythonFOAM: In-situ data analyses with OpenFOAM and Python. CoRR abs/2103.09389 (2021) - [i7]Romain Egele, Romit Maulik, Krishnan Raghavan, Prasanna Balaprakash, Bethany Lusch:
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. CoRR abs/2110.13511 (2021) - 2020
- [c4]Romit Maulik, Romain Egele, Bethany Lusch, Prasanna Balaprakash:
Recurrent neural network architecture search for geophysical emulation. SC 2020: 8 - [i6]Romit Maulik, Himanshu Sharma, Saumil Patel, Bethany Lusch, Elise Jennings:
Deploying deep learning in OpenFOAM with TensorFlow. CoRR abs/2012.00900 (2020)
2010 – 2019
- 2019
- [c3]Bethany Lusch, Eric C. Chi, J. Nathan Kutz:
Shape Constrained Tensor Decompositions. DSAA 2019: 287-297 - [c2]Shilpika, Bethany Lusch, Murali Emani, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
MELA: A Visual Analytics Tool for Studying Multifidelity HPC System Logs. DAAC@SC 2019: 13-18 - [i5]Romit Maulik, Vishwas Rao, Sandeep Madireddy, Bethany Lusch, Prasanna Balaprakash:
Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models. CoRR abs/1909.09144 (2019) - [i4]Craig Gin, Bethany Lusch, Steven L. Brunton, J. Nathan Kutz:
Deep Learning Models for Global Coordinate Transformations that Linearize PDEs. CoRR abs/1911.02710 (2019) - 2017
- [i3]Bethany Lusch, J. Nathan Kutz, Steven L. Brunton:
Deep learning for universal linear embeddings of nonlinear dynamics. CoRR abs/1712.09707 (2017) - 2016
- [i2]Bethany Lusch, Eric C. Chi, J. Nathan Kutz:
Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries. CoRR abs/1608.04674 (2016) - 2015
- [c1]Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes:
Submodular Hamming Metrics. NIPS 2015: 3141-3149 - [i1]Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes:
Submodular Hamming Metrics. CoRR abs/1511.02163 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 22:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
