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Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem

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Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem

Chat with Graph Search

Learning the language of the genome: AI- and data-driven decoding of genetic variants and disease mechanisms

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion

Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

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Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction

Disparity Between Batches as a Signal for Early Stopping

Recursively Feasible Chance-Constrained Model Predictive Control Under Gaussian Mixture Model Uncertainty

Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification

Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains