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NeurIPS 2026KIT - Karlsruhe Institute of TecKarlsruher Institut für TechnoloAleph Alpha ResearchKarlsruhe Institute of TechnologKarlsruhe Institute of TechnologPhysics-informed ML & PDEs

Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators

PEACH adapts graph network simulators via point cloud sequence encoding for in-context material inference, achieving accurate zero-shot sim-to-real transfer and outperforming mesh-based baselines.

Philipp Dahlinger, Balázs Gyenes, Niklas Freymuth, Luca Geminiani and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 5/10
strict 0/5
78%Highly rated
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NeurIPS 2026Aleph Alpha ResearchBosch Center for Artificial InteTechnical University of MunichTechnical University MunichTU DarmstadtLLM reasoning & chain of thought

Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves

Depth-recurrent attention mixtures (Dreamer) combine sequence, depth, and sparse expert attention to scale latent reasoning efficiently, requiring 2, 8x fewer training tokens than matched baselines while improving expert diversity.

Jonas Knupp, Jan Metzen, Jeremias Bohn, Georg Groh and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 2/5
medium 8/10
strict 1/5