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Author

Simon Klüttermann

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#artificial intelligence Preprint Sep 2026

From Data to Program: Fast&Direct Generative Program Inference from Empirical Data

PRODiGI, a pretrained data-to-program model that infers an explicit, executable generative program in a single forward pass, is introduced and program-space fine-tuning is introduced, which refines differentiable program parameters by matching generated and empirical samples while keeping model parameters intact.

Simon Klüttermann, Xue-Ying Ding, L. Akoglu · 0 citations
Preprint Aug 2026

Why Ranking Anomaly Detection Algorithms Isn't as Reliable as You May Think

Anomaly detection is a safety-critical machine learning problem with applications ranging from fraud detection to network intrusion prevention and industrial monitoring. Despite the large number of proposed anomaly detection algorithms, many novel methods claim state-of-the-art performance. However, many authors do so...

Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski et al. · 0 citations

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