Computational Applied Mathematics & AI Lab

ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems

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The Computational Applied Mathematics & AI Lab (CAMAIL) is a research group at the ELLIS Institute Tübingen and the Max Planck Institute for Intelligent Systems headed by T. Konstantin Rusch.

The research of CAMAIL lies at the intersection of AI and Computational Applied Mathematics. A central focus is the design of novel methods that improve the efficiency, capabilities, and theoretical understanding of AI systems, including efficient architectures and compression techniques such as pruning and quantization. We also investigate reasoning in emerging AI paradigms, including looped models and diffusion-based language models. In parallel, we study how AI can advance fundamental algorithms in computational mathematics. These methods and insights are subsequently applied to challenges in physics, computational science, and robotics.

We are hiring. If you are interested in joining our group as a PhD student, postdoc or intern, feel free to reach out via email. Please include a CV and transcripts of your grades when first reaching out. We will admit PhD students through the ELLIS, CLS, and IMPRS programs, the application deadlines are usually around November.

news

Jan 26, 2026 Papers accepted at ICLR 2026: Our lab will present 4 papers at ICLR 2026 in Rio (1 full paper, and 3 workshop papers), on control-theoretic in-training compression of SSMs, frequency-aware flow matching, structured pruning of (gated) deltanet models, and data-free mixed-precision quantization of MoEs.
Oct 22, 2025 Paper accepted at LOG 2025: Our paper on Relaxed Equivariance via Multitask Learning got accepted at LOG 2025. See you in Phoenix.
Oct 01, 2025 T. Konstantin Rusch serves as an Area Chair at ICLR, ICML, and NeurIPS 2026.
Sep 08, 2025 T. Konstantin Rusch joined Liquid AI as Scientific Advisor: We are excited about pushing the boundaries of what is possible on efficient AI together.
Aug 01, 2025 Paper accepted at CoRL 2025: Our paper on Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo got accepted at CoRL 2025. See you in Seoul.
May 02, 2025 LinOSS in the news: Check out the MIT News article about our paper on Oscillatory State-Space Model.