The CCIMI blog

On gradient estimates for random walks in time-dependent random environments

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Learning better models for inverse problems in imaging with an application to demosaicing

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Applications of deep learning in Bayesian inversion

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Concentration of tempered posteriors and of their variational approximations

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The smoothed KPZ equation in dimension three and higher

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Phase transitions on community detectability for various types of stochastic block models

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Adaptive and robust nonparametric Bayesian contraction rates for discretely observed compound Poisson processes

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The TAP-Plefka variational principle for mean field spin glasses

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Towards a better understanding of early stopping for boosting algorithms

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Estimation of Low-Rank Matrices via Approximate Message Passing

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