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NeurIPS 2026Université de LiègeU LiègeU LiegeRepresentation & contrastive learning

Neuromodulated Constrained Autoencoders for Context-Dependent Manifold Learning

Jérôme Adriaens, Gustave Bainier, Guillaume Drion, Pierre Sacré

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

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medium 0/10
strict 0/5
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NeurIPS 2026U LiegeU LiègePhysics-informed ML & PDEs

Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints

PPR samples pretrained diffusion models under hard constraints via iterative denoiser projection and renoising, achieving near-zero violations with high fidelity across physics and weather tasks.

Omer Rochman Sharabi, Gilles Louppe

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

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 3/5