Subramanian Sankaranarayanan

According to our database, Subramanian Sankaranarayanan authored at least 12 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Removal of Non-Specifically Bound Proteins Using Rayleigh Waves Generated on ST-Quartz Substrates.

Mandek Richardson, Pradipta K. Das, Samuel Morrill, Kamlesh J. Suthar, Subramanian K. R. S. Sankaranarayanan, Venkat R. Bhethanabotla

Sensors, 2022

Machine learning for interpreting coherent X-ray speckle patterns.

Mingren Shen, Dina Sheyfer, Troy David Loeffler, Subramanian K. R. S. Sankaranarayanan, G. Brian Stephenson, Maria K. Y. Chan, Dane Morgan

CoRR, 2022

MLExchange: A web-based platform enabling exchangeable machine learning workflows.

Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer

CoRR, 2022

MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies.

Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer

Proceedings of the 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2022

Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging.

Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka

Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022

2021

AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Coherent Imaging.

Yudong Yao, Henry Chan, Subramanian Sankaranarayanan, Prasanna Balaprakash, Ross J. Harder, Mathew J. Cherukara

CoRR, 2021

2020

Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning.

Henry Chan, Youssef S. G. Nashed, Saugat Kandel, Stephan Hruszkewycz, Subramanian Sankaranarayanan, Ross J. Harder, Mathew J. Cherukara

CoRR, 2020

BLAST: Bridging Length/time scales via Atomistic Simulation Toolkit.

Henry Chan, Badri Narayanan, Mathew J. Cherukara, Troy D. Loeffler, Michael G. Sternberg, Anthony Avarca, Subramanian K. R. S. Sankaranarayanan

CoRR, 2020

Combinatorial Black-Box Optimization with Expert Advice.

Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Heterogeneous Hierarchical Workflow Composition.

Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka

Comput. Sci. Eng., 2019

2017

Manala: A Flexible Flow Control Library for Asynchronous Task Communication.

Matthieu Dreher, Kiran Sasikumar, Subramanian Sankaranarayanan, Tom Peterka

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

A Preference-Based Protocol for Trust and Head Selection for Cluster-Based MANET.

Rajkumar Mylsamy, Subramanian Sankaranarayanan

Wirel. Pers. Commun., 2016