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Showing papers from Ruprecht-Karls-Universität Heidelberg Show all papers

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NeurIPS 2026German Cancer Research CenterRuprecht-Karls-Universität HeideDeutsches KrebsforschungszentrumGerman Cancer Research CenterSiemens HealthineersDatasets & benchmarks

Dataset Collections: Challenges of Large-Scale Data Aggregation in 3D Medical Image Datasets

Yannick Kirchhoff, Saikat Roy, Elisa Stegmeier, Hamideh Haghiri and 29 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U MünsterRuprecht-Karls-Universität HeideUniversität StuttgartVideo generation

Not All Layers Are Equal in Image-to-Video Transfer

Thinesh Thiyakesan Ponbagavathi, Constantin Seibold, Alina Roitberg

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

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NeurIPS 2026U BristolU CambridgeRuprecht-Karls-Universität HeideU SouthamptonUniversity College London, UniveVideo-language models

The VLM as Sensor: Bayesian Active Search for Long Video Understanding

Chong Tang, Sannara EK, Dirk Koch, Robert Mullins and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Institute for AI in MedicineRuprecht-Karls-Universität HeideInstitute for AI in Medicine (IKUniversity Medicine EssenUniversitätsmedizin EssenMedical imaging

Region-Normalized DPO for Medical Image Segmentation

Hamza Kalisch, Constantin Seibold, Jens Kleesiek, Ken Herrmann and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightCentral Institute of Mental HealRuprecht-Karls-Universität HeideIWR, HeidelbergTime series forecasting

Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction

DEER with generalized teacher forcing trains recurrent networks in parallel time to learn nonlinear dynamics on long sequences, outperforming linear state-space models for systems with long time scales.

Florian Hess, Florian Götz, Daniel Durstewitz

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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NeurIPS 2026Ruprecht-Karls-Universität HeideCentral Institute of Mental HealCentral Institute Of Mental HealIWR, HeidelbergTime series forecasting

Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction

This paper fixes structural mismatches in dynamical system reconstruction via feature splitting to enable zero-shot out-of-domain forecasting across tipping points with derived extrapolation bounds.

Georg Trede, Charlotte Doll, Elias Daniel Weber, Daniel Durstewitz

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 4/5
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NeurIPS 2026Ruprecht-Karls-Universität HeideHeidelbergIWR, HeidelbergTime series foundation models

A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems

DynaBase, a two-parameter model blending latent states with nearest in-context neighbors, achieves competitive zero-shot dynamical reconstruction with orders-of-magnitude fewer parameters.

Christoph Jürgen Hemmer, Florian Plaswig, Daniel Durstewitz

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

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5