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Apurva Mehta
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2020 – today
- 2023
- [i3]Oliver Hoidn, Aashwin Ananda Mishra, Apurva Mehta:
Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction. CoRR abs/2306.11014 (2023) - 2022
- [c4]Zhuowen Zhao
, Tanny Chavez, Elizabeth Holman
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. XLOOP@SC 2022: 10-15 - [i2]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:
MLExchange: A web-based platform enabling exchangeable machine learning workflows. CoRR abs/2208.09751 (2022) - 2021
- [c3]Guozhang Wang, Lei Chen, Ayusman Dikshit, Jason Gustafson, Boyang Chen, Matthias J. Sax, John Roesler, Sophie Blee-Goldman, Bruno Cadonna, Apurva Mehta, Varun Madan, Jun Rao:
Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka. SIGMOD Conference 2021: 2602-2613 - [i1]A. Gilad Kusne, Austin McDannald, Brian L. DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi:
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping. CoRR abs/2111.07478 (2021) - 2020
- [j1]Apurva Mehta
Predicting structural class for protein sequences of 40% identity based on features of primary and secondary structure using Random Forest algorithm. Comput. Biol. Chem. 84: 107164 (2020) - [c2]Nicholas Schwarz, Stuart Campbell, Alexander Hexemer
Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC. SMC 2020: 145-156
2010 – 2019
- 2012
- [c1]Apurva Mehta:
Yes you can: offer a comprehensive set of technologies to enhance teaching and learning. SIGUCCS 2012: 23-28
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