Author

Dhruv Kumar

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#machine learning Preprint Sep 2026

The BatchNorm Illusion: Diagnosing Normalization Artifacts in Machine Unlearning Evaluation

A previously undocumented confound in how unlearning is evaluated on BatchNorm-based architectures is identified: a single forward pass over retain data, an operation that modifies no weight, can deterministically rewrite the model's normalization state and reverse the apparent surface-metric forgetting.

Aaryaman Kalani, Murari Mandal, Dhruv Kumar et al. · 1 citation

Preprint Aug 2026

Semantics or Structure? Auditing Text Sensitivity in Multimodal Time-Series Forecasting

It is concluded that, on this benchmark and within this family of frozen-encoder architectures, text content is not the operative signal behind the reported gains and the perturbation protocol and evaluation harness are released as a reusable diagnostic toolkit.

K. Sridhar, Atharva Gupta, Nishant Pradhan et al. · 1 citation