Sayak Chakrabarty

According to our database, Sayak Chakrabarty authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings.

Randeep Bhatia, Nikos Papadis, Murali S. Kodialam, T. V. Lakshman, Sayak Chakrabarty

CoRR, June, 2025

MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models.

Sayak Chakrabarty, Souradip Pal

J. Open Source Softw., May, 2025

ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach.

Sayak Chakrabarty, Souradip Pal

J. Open Source Softw., May, 2025

CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median.

Imon Banerjee, Sayak Chakrabarty

CoRR, May, 2025

2024

SockDef: A Dynamically Adaptive Defense to a Novel Attack on Review Fraud Detection Engines.

Youzhi Zhang, Sayak Chakrabarty, Rui Liu, Andrea Pugliese, V. S. Subrahmanian

IEEE Trans. Comput. Soc. Syst., August, 2024

Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach.

Sayak Chakrabarty, Souradip Pal

CoRR, 2024

Judicial Support Tool: Finding the k Most Likely Judicial Worlds.

Maksim Bolonkin, Sayak Chakrabarty, Cristian Molinaro, V. S. Subrahmanian

Proceedings of the Scalable Uncertainty Management - 16th International Conference, 2024

2023

Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!

Konstantin Makarychev, Sayak Chakrabarty

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

2022

A New Dynamically Changing Attack on Review Fraud Systems and a Dynamically Changing Ensemble Defense.

Youzhi Zhang, Sayak Chakrabarty, Rui Liu, Andrea Pugliese, V. S. Subrahmanian

Proceedings of the IEEE Intl. Conf. on Dependable, 2022