Ragja Palakkadavath

According to our database, Ragja Palakkadavath authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Bayesian neural hawkes process for event uncertainty prediction.

Manisha Dubey, Ragja Palakkadavath, P. K. Srijith

Int. J. Data Sci. Anal., August, 2025

Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains.

Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Federated Domain Generalization with Latent Space Inversion.

Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta

Proceedings of the IEEE International Conference on Data Mining, 2025

2023

Event Uncertainty using Ensemble Neural Hawkes Process.

Manisha Dubey, Ragja Palakkadavath, P. K. Srijith

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Domain Generalization with Interpolation Robustness.

Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta

Proceedings of the Asian Conference on Machine Learning, 2023

2022

I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise.

Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande, Niranjan Pedanekar

CoRR, 2022

2021

Bayesian Generative Adversarial Nets with Dropout Inference.

Ragja Palakkadavath, P. K. Srijith

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021