Author

Christian Klötergens

h-index 2 View on Semantic Scholar

We have 3 of 7 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Apr 2026

Probabilistic Circuits for Irregular Multivariate Time Series Forecasting

CircuITS, a novel architecture for probabilistic IMTS forecasting based on sum-product networks (SPNs), is proposed, which is flexible in capturing intricate dependencies between time series channels while structurally guaranteeing valid joint distributions.

Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme · arXiv.org · 1 citation

Preprint Aug 2026

Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting

Two-stage Odd Residual Flows (TORF), a framework that decouples mean forecasting from uncertainty estimation, achieves state-of-the-art deterministic accuracy (NMAE) while providing strong density estimation performance (CRPS) on short and long-horizon forecasting.

Kiran Madhusudhanan, Christian Klötergens, Lars Schmidt-Thieme et al. · 0 citations

Preprint Aug 2026

Do Tabular Foundation Models Agree with Themselves?

This work proposes asking a different question: could a model's predictions result from any joint distribution?

Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme et al. · 3 citations