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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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. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms) and non
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