Kunal Narayan Chaudhury — accepted AI-conference papers

2026

Local-Minima-Preserving Polynomial Relaxation of Ising Problems

Debraj Banerjee, Santanu Mahapatra, Kunal Narayan Chaudhury

ICML 2026poster

The generalized Ising problem captures a broad spectrum of hard combinatorial problems, including MAX-CUT, Number Partitioning (NPP), and Maximum Independent Set. In this work, we consider the notion of one-flip local minima for this problem. We construct a polynomial relaxation and prove that there…

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2026

Trainable Nonexpansive Denoisers for Contractive Image Reconstruction

Arghya Sinha, Aditya Banerjee, Trishit Mukherjee, Kunal Narayan Chaudhury

ICML 2026poster

Trainable denoisers with Lipschitz control have become central to convergent image reconstruction. However, training neural networks that simultaneously offer strong denoising performance and global Lipschitz guarantees is challenging. Existing approaches enforce Lipschitz control only empirically, …

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