![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Steven R. Young
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c30]Mark Coletti, Chathika Gunaratne, Steven R. Young, Swetha Varadarajan, Robert M. Patton, Thomas E. Potok:
Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search. GECCO Companion 2024: 1888-1894 - 2022
- [j8]Bryan P. Maldonado
, Brian C. Kaul
, Catherine D. Schuman
, Steven R. Young
, J. Parker Mitchell:
Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators. IEEE Trans. Control. Syst. Technol. 30(6): 2433-2449 (2022) - [c29]Emily J. Herron, Steven R. Young, Derek C. Rose:
ICDARTS: Improving the Stability of Cyclic DARTS. ICMLA 2022: 1055-1062 - [c28]Robert M. Patton, Prasanna Date, Shruti R. Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman:
Neuromorphic Computing for Scientific Applications. RSDHA@SC 2022: 22-28 - 2021
- [j7]Bryan P. Maldonado
, Brian C. Kaul
, Catherine D. Schuman
, Steven R. Young, J. Parker Mitchell:
Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. IEEE Control. Syst. Lett. 5(6): 2204-2209 (2021) - [c27]Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman
, Steven R. Young, J. Parker Mitchell:
Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. ACC 2021: 1830-1835 - [c26]Catherine D. Schuman
, Steven R. Young, Bryan P. Maldonado, Brian C. Kaul:
Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge. IGSC (Workshops) 2021: 1-8 - [c25]Maryam Parsa
, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy:
Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. ICONS 2021: 14:1-14:8 - 2020
- [j6]Kathleen E. Hamilton, Catherine D. Schuman
, Steven R. Young, Ryan S. Bennink
, Neena Imam, Travis S. Humble:
Accelerating Scientific Computing in the Post-Moore's Era. ACM Trans. Parallel Comput. 7(1): 6:1-6:31 (2020) - [c24]Catherine D. Schuman
, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul:
Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency. IGSC (Workshops) 2020: 1-8 - [c23]Maryam Parsa
, Catherine D. Schuman
, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN 2020: 1-9 - [c22]Emily J. Herron
, Steven R. Young
, Thomas E. Potok
:
Ensembles of Networks Produced from Neural Architecture Search. ISC Workshops 2020: 223-234 - [i7]Duc Hoang, Jesse Hamer, Gabriel N. Perdue, Steven R. Young, Jonathan A. Miller
, Anushree Ghosh:
Inferring Convolutional Neural Networks' accuracies from their architectural characterizations. CoRR abs/2001.02160 (2020) - [i6]Maryam Parsa, Catherine D. Schuman, Prasanna Date
, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR abs/2005.04171 (2020)
2010 – 2019
- 2019
- [c21]Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman
, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou:
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 2019: 1488-1496 - [c20]Steven R. Young, Pravallika Devineni, Maryam Parsa
, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman
, Derek C. Rose, Thomas E. Potok:
Evolving Energy Efficient Convolutional Neural Networks. IEEE BigData 2019: 4479-4485 - [c19]Junghoon Chae, Catherine D. Schuman
, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok:
Visualization System for Evolutionary Neural Networks for Deep Learning. IEEE BigData 2019: 4498-4502 - [c18]Linghao Song
, Fan Chen, Steven R. Young, Catherine D. Schuman
, Gabriel N. Perdue
, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. ICASSP 2019: 3882-3886 - [c17]Duc Hoang, Jesse Hamer, Gabriel N. Perdue, Steven R. Young, Jonathan A. Miller, Anushree Ghosh
:
Inferring Convolutional Neural Networks' Accuracies from Their Architectural Characterizations. ICMLA 2019: 1388-1391 - [c16]Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman
, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok:
Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. MLHPC@SC 2019: 9-18 - [i5]Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR abs/1902.00743 (2019) - [i4]Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz:
Exascale Deep Learning to Accelerate Cancer Research. CoRR abs/1909.12291 (2019) - 2018
- [j5]Jeremy Liu
, Federico M. Spedalieri, Ke-Thia Yao, Thomas E. Potok
, Catherine D. Schuman
, Steven R. Young
, Robert M. Patton
, Garrett S. Rose
, Gangotree Chakma
:
Adiabatic Quantum Computation Applied to Deep Learning Networks. Entropy 20(5): 380 (2018) - [j4]Thomas E. Potok, Catherine D. Schuman
, Steven R. Young, Robert M. Patton, Federico M. Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose
, Gangotree Chakma
:
A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers. ACM J. Emerg. Technol. Comput. Syst. 14(2): 19:1-19:21 (2018) - [c15]Drahomira Herrmannova, Steven Robert Young, Robert M. Patton, Christopher G. Stahl, Nicole C. Kleinstreuer, Mary S. Wolfe:
Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study. Louhi@EMNLP 2018: 71-82 - [c14]Kathleen E. Hamilton, Catherine D. Schuman
, Steven R. Young, Neena Imam, Travis S. Humble:
Neural Networks and Graph Algorithms with Next-Generation Processors. IPDPS Workshops 2018: 1194-1203 - [c13]Adam L. Anderson, Steven R. Young, Thomas P. Karnowski
, Jason M. Vann
:
Deepmod: An Over-the-Air Trainable Machine Modem for Resilient PHY Layer Communications. MILCOM 2018: 213-218 - [c12]Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Don D. March, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Thomas P. Karnowski, Maxim A. Ziatdinov, Sergei V. Kalinin:
167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. SC 2018: 50:1-50:11 - [i3]Drahomira Herrmannova, Steven R. Young, Robert M. Patton, Christopher G. Stahl, Nicole C. Kleinstreuer, Mary S. Wolfe:
Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study. CoRR abs/1811.01183 (2018) - 2017
- [c11]Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young
:
Vertex reconstruction of neutrino interactions using deep learning. IJCNN 2017: 2275-2281 - [c10]Catherine D. Schuman
, Thomas E. Potok, Steven R. Young, Robert M. Patton, Gabriel N. Perdue, Gangotree Chakma
, Austin Wyer, Garrett S. Rose
:
Neuromorphic computing for temporal scientific data classification. NCS 2017: 2:1-2:6 - [c9]J. Travis Johnston
, Steven R. Young
, David Hughes, Robert M. Patton, Devin White:
Optimizing Convolutional Neural Networks for Cloud Detection. MLHPC@SC 2017: 4:1-4:9 - [c8]Steven R. Young
, Derek C. Rose, J. Travis Johnston
, William T. Heller, Thomas P. Karnowski
, Thomas E. Potok, Robert M. Patton, Gabriel N. Perdue, Jonathan A. Miller
:
Evolving Deep Networks Using HPC. MLHPC@SC 2017: 7:1-7:7 - [i2]Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Federico M. Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose, Gangotree Chakma:
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. CoRR abs/1703.05364 (2017) - 2016
- [c7]Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Federico M. Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose
, Gangotree Chakma
:
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. MLHPC@SC 2016: 47-55 - 2015
- [j3]Junjie Lu
, Steven R. Young
, Itamar Arel, Jeremy Holleman:
A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS. IEEE J. Solid State Circuits 50(1): 270-281 (2015) - [c6]Jeremy Holleman, Itamar Arel, Steven R. Young
, Junjie Lu:
Analog inference circuits for deep learning. BioCAS 2015: 1-4 - [c5]Steven R. Young
, Derek C. Rose, Thomas P. Karnowski
, Seung-Hwan Lim, Robert M. Patton
:
Optimizing deep learning hyper-parameters through an evolutionary algorithm. MLHPC@SC 2015: 4:1-4:5 - 2014
- [j2]Steven R. Young
, Andrew S. Davis, Aaron Mishtal, Itamar Arel:
Hierarchical spatiotemporal feature extraction using recurrent online clustering. Pattern Recognit. Lett. 37: 115-123 (2014) - [j1]Steven R. Young
, Junjie Lu, Jeremy Holleman, Itamar Arel:
On the Impact of Approximate Computation in an Analog DeSTIN Architecture. IEEE Trans. Neural Networks Learn. Syst. 25(5): 934-946 (2014) - [c4]Junjie Lu, Steven R. Young, Itamar Arel, Jeremy Holleman:
30.10 A 1TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13μm CMOS. ISSCC 2014: 504-505 - 2013
- [i1]Steven Robert Young, Itamar Arel:
Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN. CoRR abs/1301.3385 (2013) - 2012
- [c3]Steven Robert Young
, Itamar Arel:
Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection. ICMLA (2) 2012: 54-55 - 2011
- [c2]Thomas P. Karnowski
, Itamar Arel, Steven R. Young:
Modeling Temporal Dynamics with Function Approximation in Deep Spatio-Temporal Inference Network. BICA 2011: 174-179 - 2010
- [c1]Steven R. Young
, Itamar Arel, Thomas P. Karnowski
, Derek C. Rose:
A Fast and Stable Incremental Clustering Algorithm. ITNG 2010: 204-209
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
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 2024-08-03 20:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint