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Found 4 papers, 2 papers with code
Fortuna: A Library for Uncertainty Quantification in Deep Learning
We present Fortuna, an open-source library for uncertainty quantification in deep learning.
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors
As we move away from the data, the predictive uncertainty should increase, since a great variety of explanations are consistent with the little available information.
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework
With the rise in use of social media to promote branded products, the demand for effective influencer marketing has increased.
Deep Learning for Time Series Forecasting: The Electric Load Case
Management and efficient operations in critical infrastructure such as Smart Grids take huge advantage of accurate power load forecasting which, due to its nonlinear nature, remains a challenging task.
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