New preprint: MUX, continuous reasoning via multiplexed tokens
MUX compresses step-by-step reasoning of language models into continuous latent tokens that each multiplex a span of reasoning.
All the news from the group.
MUX compresses step-by-step reasoning of language models into continuous latent tokens that each multiplex a span of reasoning.
RelAgent uses LLM agents as data scientists for relational learning, producing predictors that are fast and interpretable.
Categorical Flow Maps and MacroGuide: Topological Guidance for Macrocycle Generation were accepted to ICML 2026.
Louis Tichelman and Angelo Gnazzo joined the group as PhD students at TU Wien.
Topological Flow Matching, HYPER, and Flock were accepted to ICLR 2026.
İsmail İlkan Ceylan was appointed Associate Professor at TU Wien.
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Queries over Incomplete Knowledge Graphs was accepted to the Learning on Graphs Conference 2025.
Equivariance Everywhere All At Once and Curly Flow Matching were accepted to NeurIPS 2025.
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