Author

C. Diks

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#machine learning Preprint Sep 2026

Whitening Improves Robustness to Spurious Correlations in Linear Probes

Deep neural networks tend to rely on simple features that may be spurious and thus fail to generalize. We study this problem in the setting of linear probes, where a (generalized) linear model is fitted on the representations of a (pretrained) model. We use the connection of these models to the max-margin classifier, a...

Floris Holstege, Bram Wouters, N. V. van Giersbergen et al. · 0 citations

Preprint Sep 2026

Model-agnostic noise reduction for high-dimensional time series data

We develop a model-agnostic framework for noise reduction in high-dimensional time series that explicitly targets optimal recovery of a low-dimensional latent dynamic component contaminated by observational white noise. Under the assumption that the latent dynamics live in a low-dimensional linear dynamic subspace, we...

Bram Wouters, C. Diks · 0 citations