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Showing papers from Université Claude Bernard (Lyon I) Show all papers

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NeurIPS 2026Ecole Polytechnique of ParisUniversité Claude BernardInstitut Polytechnique de ParisTotalEnergiesLinear accelerator LaboratorySpatio-temporal forecasting

Learning Spectral Compositional Koopman Operators for Global-to-Regional Weather Forecasting

khalid OUBLAL, Malo Guichard, François Bertholom, Simon Albergel and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Sorbonne Université - Faculté deMines ParisTechCNRSUniversité Claude BernardGenomics & single-cell

Likelihood-free inference of phylogenetic tree posterior distributions

A likelihood-free neural network estimates phylogenetic tree posteriors via sequence pair encodings and subtree merges, outperforming likelihood-based methods especially for intractable evolutionary models.

Luc Blassel, Noémie Sauvage, Pierre Barrat-Charlaix, Bastien Boussau and 2 more

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 4/10
strict 2/5