Sayak Chakrabarty

17 papers A* 2C 2Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
PixRec: Leveraging Visual Context for Next-Item Prediction in Sequential Recommendation.
CoRR
Sayak Chakrabarty, Souradip Pal
2026 C conf
Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce.
ICPRAM
Sayak Chakrabarty, Souradip Pal
2025 C conf
AI-Driven Prediction of Material Deformation: Stress-Strain Curves Faster Than Crystal Plasticity Finite Element Simulation.
ICMLA
Sayak Chakrabarty, Shahriyar Keshavarz, Yuwei Mao, Andrew C. E. Reid, Alok N. Choudhary, Ankit Agrawal
2025 J jnl
CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median.
CoRR
Imon Banerjee, Sayak Chakrabarty
2025 J jnl
CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings.
CoRR
Randeep Bhatia, Nikos Papadis, Murali S. Kodialam, T. V. Lakshman, Sayak Chakrabarty
2025 J jnl
MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models.
J. Open Source Softw.
Sayak Chakrabarty, Souradip Pal
2025 J jnl
ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach.
J. Open Source Softw.
Sayak Chakrabarty, Souradip Pal
2025 J jnl
Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce.
CoRR
Sayak Chakrabarty, Souradip Pal
2024 J jnl
Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach.
CoRR
Sayak Chakrabarty, Souradip Pal
2024 — conf
Judicial Support Tool: Finding the k Most Likely Judicial Worlds.
SUM
Maksim Bolonkin, Sayak Chakrabarty, Cristian Molinaro, V. S. Subrahmanian
2024 J jnl
MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models.
CoRR
Sayak Chakrabarty, Souradip Pal
2024 J jnl
SockDef: A Dynamically Adaptive Defense to a Novel Attack on Review Fraud Detection Engines.
IEEE Trans. Comput. Soc. Syst.
Youzhi Zhang, Sayak Chakrabarty, Rui Liu, Andrea Pugliese, V. S. Subrahmanian
2023 A* conf
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis.
NeurIPS
Arghya Datta, Sayak Chakrabarty
2023 J jnl
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis.
CoRR
Arghya Datta, Sayak Chakrabarty
2023 A* conf
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
NeurIPS
Konstantin Makarychev, Sayak Chakrabarty
2023 J jnl
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
CoRR
Sayak Chakrabarty, Konstantin Makarychev
2022 — conf
A New Dynamically Changing Attack on Review Fraud Systems and a Dynamically Changing Ensemble Defense.
DASC/PiCom/CBDCom/CyberSciTech
Youzhi Zhang, Sayak Chakrabarty, Rui Liu, Andrea Pugliese, V. S. Subrahmanian