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I went deep through the rabbit hole of uncertainty quantification in forecasting of neural networks. A faster method of quantifying uncertainty than what was proposed by [Lapeyrolerie et al, 2022](htt…
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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Hi,
I am really interested in calculating the uncertainty using graph neural networks and I am going through your paper. I was wondering if you can provide some ipynb notebook to train such models a…
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# UQ4ML – Uncertainty Quantification Techniques in Machine Learning Models
This session focuses on uncertainty quantification (UQ) techniques in machine learning models and their applications acros…
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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# Uncertainty Quantification of ML models: From Introduction to Advanced
# Responsible person(s)
Sebastian Starke, , HZDR,
Steve Schmerler, HZDR, @elcorto
Peter Steinbach, HZDR, @psteinb
G…
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Steps and tasks to be done for gender bias mitigation in OpeNTF:
**1. Related works**
- [x] Learning to form skill-based teams of experts.
- [x] Bootless Application of Greedy Re-ranking Algorit…
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Hi, I have read your explanation about Bayesian neural network, aleatoric uncertainty and epistemic uncertainty. It is very excellent and straightforward. But I also notice an interesting phenomenon t…
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**Describe the bug**
I have many entries ignored by citr, revolving around "The name list field author cannot be parsed".
**To Reproduce**
For example it happens for this entry:
@article{Ven…
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www.hunch.net
http://fastml.com/bayesian-machine-learning/
http://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/
https://www.reddit.com/r/MachineLearning/comme…