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Showing papers from École Polytechnique, Institut Polytechnique de Paris Show all papers

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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 2026Ecole Polytechnique/InriaEcole Nationale de la StatistiquÉcole Polytechnique, Institut PoÉcole PolytechniqueInriaFairness & bias

Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings

Optimal transport characterizes relaxed fair regression via smooth population-wide or exact subset parity penalties across aware and unaware settings, and proposed algorithms match or exceed state-of-the-art benchmarks.

Marie Generali Lince, Vincent Divol, Rémi Flamary, Solenne Gaucher and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
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strict 0/5