Author

Maurice Kraus

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Preprint Aug 2026

Tydra: An Efficient Hybrid Model for Tabular Data

Tydra is introduced, a hybrid Transformer-State Space Model (SSM) architecture for tabular in-context learning that interleaves attention and SSM layers that reduces inference time by 30% relative to TabPFN while retaining much of its predictive performance.

Mieszko Komisarczyk, Saurabh Mathur, Maurice Kraus et al. · 1 citation

#artificial intelligence Preprint Sep 2026

VoiceNet: Fine-Grained Voice Understanding Beyond Emotion at Scale

This paper introduces VoiceNet, a human-annotated representation-level benchmark for voice performance understanding on permissively-licensed in-the-wild speech, and releases Emolia, an emotion-annotated version of the Emilia corpus, with a curated rebalanced subset enriched by dense MOSS-Audio Thinking annotations.

Christoph Schuhmann, R. Kaczmarczyk, Gollam Rabby et al. · 0 citations