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NeurIPS 2026U North Carolina at Chapel HillLSEUNC Chapel HillBrain imaging & connectomics

FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model

FAST-Brain unifies flow-aligned generation, graph convolutions, and transformers to model rs-fMRI directly, with approximation error scaling by intrinsic dimension rather than ambient dimension, achieving state-of-the-art functional and effective connectivity recovery.

Shucheng Liu, Chengchun Shi, Kai Zhang, Hongtu Zhu

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
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NeurIPS 2026LSEAdversarial robustness

Learning Better Certified Models from Empirically-Robust Teachers

Distilling features from adversarially trained teachers improves certified training of ReLU networks, achieving better standard accuracy and certified robustness across vision benchmarks.

Alessandro De Palma

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 0/5