Author

R. L. M. van Herten

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#machine learning Preprint Oct 2026

Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields

Conditional neural fields represent signals continuously, but their effectiveness depends on how the conditional latent representations are inferred from observed data. In meta-learning, this encoding occurs through gradient updates induced by the decoder, tying representation learning directly to decoder design. We fo...

R. L. M. van Herten, Soufiane Ben Haddou, Rachit Saluja et al. · 0 citations

Preprint Aug 2026

GeoPose: Patient-agnostic CTA-to-DSA registration through projection-space calibration

GeoPose is proposed, a population-trained framework that estimates the C-arm pose in a learned canonical frame and transfers it to the native frame of an unseen CTA through projection-space calibration and transform composition, and provides rapid native-frame registration with fixed population-level weights and the ge...

R. L. M. van Herten, Robert Graf, Paula Feldman et al. · 0 citations