Apurva Mehta

According to our database, Apurva Mehta authored at least 8 papers between 2012 and 2023.

Collaborative distances:

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

2023

Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction.

Oliver Hoidn, Aashwin Ananda Mishra, Apurva Mehta

CoRR, 2023

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

2021

Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping.

A. Gilad Kusne, Austin McDannald, Brian L. DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi

CoRR, 2021

Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka.

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Predicting structural class for protein sequences of 40% identity based on features of primary and secondary structure using Random Forest algorithm.

Apurva Mehta, Himanshu S. Mazumdar

Comput. Biol. Chem., 2020

Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC.

Nicholas Schwarz, Stuart Campbell, Alexander Hexemer, Apurva Mehta, Jana Thayer

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2012

Yes you can: offer a comprehensive set of technologies to enhance teaching and learning.

Apurva Mehta

Proceedings of the ACM Proceedings of the SIGUCCS Annual Conference, 2012