Anindya Moitra

According to our database, Anindya Moitra authored at least 9 papers between 2015 and 2025.

Collaborative distances:

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

2025

Genicious: Contextual Few-shot Prompting for Insights Discovery.

Vineet Kumar, Ronald Tony, Darshita Rathore, Vipasha Rana, Bhuvanesh Mandora, Kanishka, Chetna Bansal, Anindya Moitra

CoRR, March, 2025

How Much is Too Much? Exploring LoRA Rank Trade-offs for Retaining Knowledge and Domain Robustness.

Darshita Rathore, Vineet Kumar, Chetna Bansal, Anindya Moitra

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

2024

Genicious: Contextual Few-shot Prompting for Insights Discovery.

Vineet Kumar, Ronald Tony, Darshita Rathore, Vipasha Rana, Bhuvanesh Mandora, Kanishka, Chetna Bansal, Anindya Moitra

Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD), 2024

2023

Computation of persistent homology on streaming data using topological data summaries.

Anindya Moitra, Nicholas O. Malott, Philip A. Wilsey

Comput. Intell., October, 2023

2020

Persistent Homology on Streaming Data.

Anindya Moitra, Nicholas O. Malott, Philip A. Wilsey

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Clustering Data in Secured, Distributed Datasets.

Sayantan Dey, Lee A. Carraher, Anindya Moitra, Philip A. Wilsey

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2018

Cluster-based Data Reduction for Persistent Homology.

Anindya Moitra, Nicholas O. Malott, Philip A. Wilsey

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Random Projection Clustering on Streaming Data.

Lee A. Carraher, Philip A. Wilsey, Anindya Moitra, Sayantan Dey

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Multi-probe random projection clustering to secure very large distributed datasets.

Lee A. Carraher, Philip A. Wilsey, Anindya Moitra, Sayantan Dey

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015