2 papers
cs.DL2025
Billions at Stake: How Self-Citation Adjusted Metrics Can Transform Equitable Research Funding
Rahul Vishwakarma, Sinchan Banerjee
Citation metrics serve as the cornerstone of scholarly impact evaluation despite their well-documented vulnerability to inflation through self-citation practices. This paper introd…
cs.LG2025
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
Rahul Vishwakarma, Shrey Dharmendra Modi, Vishwanath Seshagiri
The generation of high-quality synthetic data presents significant challenges in machine learning research, particularly regarding statistical fidelity and uncertainty quantificati…