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