Bayesian neural networks

A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties

root February 24, 2024 0

The article discusses the importance of heteroscedastic predictive uncertainties in Bayesian Neural Networks (BNNs). The authors illustrate how both heteroscedastic aleatoric and epistemic variance can be integrated into the variances…

Machine Learning

Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?

root February 5, 2024 0

The research delves into the challenge of sample-based inference (SBI) for Bayesian neural networks (BNNs) due to the size and structure of the network’s parameter space. The authors propose that…

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Bayesian neural networks

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