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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite
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from multi-omics datasets (epigenomics, transcription, sequence). • Using representation learning (tensor factorization framework e.g., AVOCADO) extend the predictive framework allowing imputation in
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
equation, to infer a dynamics for the noise term, and more specifically, the correlation tensor involved in the definition of the small-scale component. The objective will be to extend this methodology
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