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Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition

Multi-output Gaussian Processes for uncertainty-aware recommender systems

Towards trustworthy predictions from deep neural networks with fast adversarial calibration

Document informed neural autoregressive topic models with distributional prior

Optical trapping dynamics for cell identification