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2020 – today
- 2025
[j1]Pranav Maneriker, Aditya T. Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy:
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs. Trans. Mach. Learn. Res. 2025 (2025)- [c2]Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy:
A Generic Framework for Conformal Fairness. ICLR 2025 - [i3]Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy:
A Generic Framework for Conformal Fairness. CoRR abs/2505.16115 (2025) - 2024
- [i2]Pranav Maneriker, Aditya Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy:
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. CoRR abs/2409.18332 (2024) - [i1]Yuntian He, Pranav Maneriker, Anutam Srinivasan, Aditya Vadlamani, Srinivasan Parthasarathy:
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks. CoRR abs/2410.21618 (2024) - 2023
- [c1]Vinícius Vitor dos Santos Dias, Samuel Ferraz, Aditya Vadlamani, Mahdi Erfanian, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy:
Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing. HiPC 2023: 224-233
Coauthor Index
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