Scholar
Srinivas Eswar
Google Scholar ID: faqGKGgAAAAJ
Argonne National Laboratory
Citations & Impact
Citations
95
H-index
7
i10-index
6
Publications
15
Co-authors
16
list available
Resume (English only)
Academic Achievements
- Published several papers, including 'Distributed-memory parallel JointNMF' (ICS23: International Conference on Supercomputing, 2023) and 'ORCA: Outlier detection and Robust Clustering for Attributed graphs' (Journal of Global Optimization, 2021).
Research Experience
- Interned with the Machine Learning and Optimization (MLO) team at Amazon, exploring different explainability options for neural networks used in the advertising pipeline and detecting important training samples to characterize the network's behavior.
Background
- A postdoc at Argonne. Research interests include supercomputing, graph data mining, and machine learning.
Miscellany
- Shares articles on mathematical concepts like singular value decomposition and personal anecdotes through his blog.
