Improved Estimation of the Specific Differential Phase Shift Using a Compilation of Kalman Filter Ensembles

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Improved Estimation of the Specific Differential Phase Shift Using a Compilation of Kalman Filter Ensembles

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Data and scripts for the RaFSIP scheme

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Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters

Bayesian reconstruction of memories stored in neural networks from their connectivity

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles

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Data-driven Methods for Control: from Linear to Lifting

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

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