Author

Prayag Tiwari

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#artificial intelligence Preprint Sep 2026

Correlation-Guided Fast Machine Unlearning via Hessian Analysis

This work introduces a computationally efficient unlearning framework that identifies correlated data points in the training set and applies a theoretically derived closed-form parameter update rule, achieving an $82\times$ wall-clock speedup over standard influence function unlearning while preserving model utility wi...

Ayushi Thakur, Ruchir Gupta, Amit Kumar Jaiswal et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Generative Replay Mitigates Sample Starvation in Quantum Architecture Search

GenQAS is introduced, a tensor network-guided RL framework that combines a fixed matrix product state warm-start with prioritized generative replay and can mitigate sample starvation in quantum architecture search and support more resource efficient circuit discovery.

Akash Kundu, Amit Kumar Jaiswal, Sebastian Feld et al. · 0 citations