Author

Mayug Maniparambil

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Preprint Oct 2026

Beyond Training from Scratch: Foundation Models for Data-Efficient and Generalizable Cardiac MRI Reconstruction

Cardiac magnetic resonance imaging reconstruction aims to recover high-quality images from undersampled acquisitions, enabling faster scans while preserving diagnostic fidelity. Recent reconstruction methods are typically trained from scratch and often require large amounts of task-specific data, limiting their robustn...

Anam Hashmi, Mayug Maniparambil, Julia Dietlmeier et al. · 0 citations

#artificial intelligence Preprint Oct 2026

A Privileged Teacher That Only Scores Cannot Search: Critique-Conditioned On-Policy Self-Distillation for Reasoning

On-policy self-distillation promises to replace the sparse outcome signal of verifiable-reward RL with dense token-level credit: a teacher conditioned on the reference solution scores the student's own rollout, and the resulting distributional shift is distilled back into the policy. We investigate whether this scoring...

Mayug Maniparambil, Ayush K. Rai, Ekansh Verma et al. · 0 citations