Arghya Datta

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Trinocular Stereo

Machine Learning

Network Architecture

Probabilistic Principal Component Analysis

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Arghya Datta, Sayak Chakrabarty
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis. NeurIPS (2023)
Arghya Datta, Sayak Chakrabarty
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis. CoRR (2023)
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan
Measuring and Mitigating Local Instability in Deep Neural Networks. CoRR (2023)
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan
Measuring and Mitigating Local Instability in Deep Neural Networks. ACL (Findings) (2023)
Arghya Datta, S. Joshua Swamidass
Fair-Net: A Network Architecture for Reducing Performance Disparity between Identifiable Sub-populations. ICAART (3) (2022)
Arghya Datta, S. Joshua Swamidass
Fair-Net: A Network Architecture For Reducing Performance Disparity Between Identifiable Sub-Populations. CoRR (2021)
Arghya Datta, Matthew K. Matlock, Na Le Dang, Thiago C. Moulin, Keith F. Woeltje, Elizabeth L. Yanik, Sanjay Joshua Swamidass
'Black Box' to 'Conversational' Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Arghya Datta, Noah R. Flynn, S. Joshua Swamidass
Cal-Net: Jointly Learning Classification and Calibration On Imbalanced Binary Classification Tasks. IJCNN (2021)
Arghya Datta, Noah R. Flynn, Dustyn A. Barnette, Keith F. Woeltje, Grover P. Miller, S. Joshua Swamidass
Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort. PLoS Comput. Biol. 17 (7) (2021)
Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass
Deep learning long-range information in undirected graphs with wave networks. IJCNN (2019)
Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass
Deep learning long-range information in undirected graphs with wave networks. CoRR (2018)