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NeurIPS 2026Institut PolytechniqueInstitut Polytechnique de ParisTélecom ParisÉcole Polytechnique, Institut PoCEAMolecules & drug discovery

MSAlign: Aligning Molecular and Mass Spectra Foundation Models for Metabolite Identification

Paul Krzakala, Gabriel Melo, Camille Lançon, Charlotte Laclau and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026SpotlightTélécom ParisCEASorbonne Université - Faculté deDiffusion models

Diff-CA: Separating Common and Salient Factors with Diffusion Models

Diff-CA conditions diffusion models to decompose image representations into common and salient factors via weak supervision, achieving high-fidelity contrastive generation and editing with provable factorization identifiability.

Michaël Soumm, Alexandre Fournier Montgieux, Yunlong HE, Pietro Gori and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5