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Showing papers from Max Planck Institute for Polymer Research Show all papers

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Universal Time Series Generation with Neural Controlled Differential Equations

Structured Linear Controlled Differential Equations are universal time-series generators that approximate induced path laws on compact latent sets, and Generative SLiCEs improve probabilistic forecasting and downstream task performance on irregular grids.

Torben Berndt, Elyes Farjallah, Leif Seute, RAEID SAQUR and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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5/20 AI panelreviewers recommend it

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AI panel: 5 of 20 reviewers recommend it
lenient 2/5
medium 2/10
strict 1/5
78%Highly rated
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Predicting directional flexibility in proteins

BackFlip-2 predicts directional protein backbone flexibility and dynamic correlations directly from structures via a fast SE(3)-equivariant graph neural network, matching larger ensemble models at orders-of-magnitude lower cost.

Vsevolod Viliuga, Leif Seute, Matteo Tadiello, Nicolas Wolf and 2 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5