Author

Xue Liu

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#machine learning Preprint Oct 2026

Detecting a Shift Is Not Enough: Exact Minimax Limits of Linear Representation Repair

A mean shift between two data sources can be easy to detect but hard to remove without substantially changing their representations. We cast its removal as a statistical decision problem: from noisy differences between paired calibration measurements in $\mathbb{R}^d$, learn one linear map, applied to both sources unde...

Anuar Aimoldin, Yan-Kai Chen, Ayana Mussabayeva et al. · 0 citations

#machine learning Preprint Sep 2026

PhysioTRACE: Provenance-Aware Stress Tests for Physiological Foundation Models

PhysioTRACE is introduced, a four-axis behavioral audit for frozen encoders that separates what a probe can decode from what a fixed task head relies on, and provides one that can pass, fail, or refuse a remedy.

Ayana Mussabayeva, Anuar Aimoldin, Olivier Oullier et al. · 0 citations

#machine learning Preprint Aug 2026

Behavioral Latency as Weak Event-Time Supervision for EEG Reaction-Time Decoding

Event-time posterior modeling is established as a probabilistic and interpretable formulation for linking single-trial EEG dynamics to behavioral timing for linking single-trial EEG dynamics to behavioral timing.

Anuar Aimoldin, Ayana Mussabayeva, Yedige Mussabayev et al. · 0 citations