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View Code? Open in Web Editor NEWSupplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
License: MIT License
Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
License: MIT License
Thank you for the very interesting paper and publishing your code. I am trying to get a better understanding of DER and its sensitivity to hyperparameters. Therefore, I created a google colab with a toy regression dataset and an implementation of how I understand DER, but I must be doing something wrong because the results I am getting don't look great, both for the original paper and the changes proposed in this paper. As a comparison I included a simple deterministic network that predicts the mean and variance of a Gaussian and performs much more reasonable, albeit not accounting for epistemic uncertainty. So I was wondering if you could give me a hint about what I am missing. Cheers.
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