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Author

Manjunath Joshi

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#machine learning Review Oct 2026

Not All Is Lost: Repairing Lossy User Preference States of Personalization Encoders

Personalization encoders compress evolving interaction histories into preference states used to rank items or condition text generation. A task head operating only on this state can miss useful evidence that remains in the frozen encoder's cached representations for individual timesteps. We study this recoverability ga...

Parthiv Chatterjee, Dhiraj Golhar, Ummesalma Diwan et al. · 0 citations
#machine learning Preprint Sep 2026

Terminal-Register Certification for Finite-Measurement Learning of Multiscale Quantum States

It is confirmed that an ideal sequential and terminal measurement schedule delivers the same complete bit string distribution under matched causal operations, while normalized postselection can amplify perturbations inversely with prefix acceptance.

Bhvain Makwana, Kashyap Patel, Manjunath Joshi et al. · 0 citations

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