Aditya Vadlamani

According to our database, Aditya Vadlamani authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

FedCF: Fair Federated Conformal Prediction.

Anutam Srinivasan, Aditya T. Vadlamani, Amin Meghrazi, Srinivasan Parthasarathy

CoRR, September, 2025

Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs.

Pranav Maneriker, Aditya T. Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy

Trans. Mach. Learn. Res., 2025

A Generic Framework for Conformal Fairness.

Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BLB-HGNN: Bag of Little Bootstraps for Training Heterogeneous GNNs.

Aditya T. Vadlamani, Sama Salarian, Saket Gurukar, Srinivasan Parthasarathy

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks.

Yuntian He, Pranav Maneriker, Anutam Srinivasan, Aditya Vadlamani, Srinivasan Parthasarathy

CoRR, 2024

Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights.

Pranav Maneriker, Aditya Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy

CoRR, 2024

2023

Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing.

Vinícius Vitor dos Santos Dias, Samuel Ferraz, Aditya Vadlamani, Mahdi Erfanian, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023