Author

Markus Kreft

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#artificial intelligence Preprint Oct 2026

TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models

Temporal Foundation Models (TFMs) aim to generalize across domains, datasets, and tasks. Yet, their development remains constrained by fragmented, task-specific data formats, annotations, and processing pipelines. We introduce TimeNet, an open-source data standard and scalable infrastructure that decouples temporal dat...

Martin Maritsch, Timo Stoffregen, Thomas Kaar et al. · 0 citations

#machine learning Preprint Sep 2026

ConRAG: Lightweight inference of multi-hop relations

Understanding how two entities are connected often requires tracing multi-hop relations across documents to identify intermediate entities and supporting evidence that explain a connection. This is a task that appears frequently in scientific research and other knowledge-intensive analyses. We formalise this setting as...

Kilian Bänziger, Sonia Laguna, Markus Kreft et al. · 0 citations

#machine learning Preprint Aug 2026

TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

TimeRLM, an RLM formulation for time-series that sequentially manipulates the signal using code and vision capabilities, and AnomalyXL, a synthetic long-context anomaly localization benchmark with programmatically injected anomalies that require precise retrieval.

Nicolas Zumarraga, Lorenzo Steno, Ning Wang et al. · 0 citations