Author

Niels Landwehr

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Preprint Sep 2026

Rethinking the Fully Hyperbolic Vision Transformer in Polar Coordinates

Hyperbolic space can embed intrinsic hierarchies in data with low distortion due to the exponential growth of volume with distance from the origin. However, current Lorentz transformer blocks are formulated in ambient coordinates, where numerical errors increase at large radii due to instability in the Lorentzian inner...

A. Bdeir, Niels Landwehr · 0 citations

#machine learning Preprint Apr 2026

Sliding-Window Reordering with Overlap Averaging: A Simple Time-Domain Augmentation for Multivariate Forecasting

A simple procedure is described that unfolds the joint input-target sequence into overlapping sliding windows, randomly reorders a controlled fraction of them, and reconstructs the sequence by averaging across the overlaps, producing synthetic samples with controlled variation while limiting temporal distortion.

Jafar Bakhshaliyev, Johannes Burchert, Niels Landwehr et al. · 0 citations

Preprint Aug 2026

NAE: Normalizing AutoEncoder

This work proposes Normalizing Autoencoder (NAE), which employs a novel conditional loss that aligns the surrogate loss gradient with that of reconstruction loss, directly improving upon the current standard.

Muhammad Abdur Rafae, Niels Landwehr · 0 citations