Bayesian Generative Adversarial Nets with Dropout Inference. - Ragja Palakkadavath; P. K. Srijith (COMAD/CODS, 2021)

I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise. - Ragja Palakkadavath; Sarath Sivaprasad; Shirish Karande 001; Niranjan Pedanekar (CoRR, 2022)

Domain Generalization with Interpolation Robustness. - Ragja Palakkadavath; Thanh Nguyen-Tang; Hung Le 002; Svetha Venkatesh; Sunil Gupta 001 (ACML, 2023)

Event Uncertainty using Ensemble Neural Hawkes Process. - Manisha Dubey; Ragja Palakkadavath; P. K. Srijith (COMAD/CODS, 2023)

Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains. - Ragja Palakkadavath; Hung Le 002; Thanh Nguyen-Tang; Sunil Gupta 001; Svetha Venkatesh (WACV, 2025)

Bayesian neural hawkes process for event uncertainty prediction. - Manisha Dubey; Ragja Palakkadavath; P. K. Srijith (Int. J. Data Sci. Anal., 2025)