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Showing papers from CMU/MBZUAI/GenBio Show all papers

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NeurIPS 2026EPFLCarnegie MellonCMU/MBZUAI/GenBioCMU, Cartesia AILong-context modeling

Raven: High-Recall Sequence Modeling via Sparse Memory Routing

Arshia Afzal, Aviv Bick, Eric Xing, Volkan Cevher and 1 more

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

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NeurIPS 2026École PolytechniqueINRIAInria Paris / ENSMohamed bin Zayed University of CMU/MBZUAI/GenBioDiffusion models

Uniform Diffusion Models revisited: Leave-One-Out Denoiser and Absorbing State Reformulation

Standard uniform diffusion training uses a leave-one-out posterior rather than the true denoising posterior, causing a parameterization-objective mismatch that new conversions, samplers, and an absorbing-state reformulation fix to match masked diffusion.

Samson Gourevitch, Yazid Janati, Dario Shariatian, Umut Simsekli and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026 · ▲ 4 on Hugging Face · Code ★ 11

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AI panel: 12 of 20 reviewers recommend it
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medium 7/10
strict 2/5