Arghya Datta

According to our database, Arghya Datta authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

2023

On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis.

Arghya Datta, Sayak Chakrabarty

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Measuring and Mitigating Local Instability in Deep Neural Networks.

Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Fair-Net: A Network Architecture for Reducing Performance Disparity between Identifiable Sub-populations.

Arghya Datta, S. Joshua Swamidass

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

'Black Box' to 'Conversational' Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism.

Arghya Datta, Matthew K. Matlock, Na Le Dang, Thiago C. Moulin, Keith F. Woeltje, Elizabeth L. Yanik, Sanjay Joshua Swamidass

IEEE J. Biomed. Health Informatics, 2021

Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort.

Arghya Datta, Noah R. Flynn, Dustyn A. Barnette, Keith F. Woeltje, Grover P. Miller, S. Joshua Swamidass

PLoS Comput. Biol., 2021

Cal-Net: Jointly Learning Classification and Calibration On Imbalanced Binary Classification Tasks.

Arghya Datta, Noah R. Flynn, S. Joshua Swamidass

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

Deep learning long-range information in undirected graphs with wave networks.

Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass

Proceedings of the International Joint Conference on Neural Networks, 2019