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Currently, Autogluon Tabular predicts values without giving an estimate of the uncertainty.
Are you going to integrate methods like [conformal prediction](https://arxiv.org/pdf/2005.07972.pdf) or ano…
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In your paper, as for classification task, you mention the use of the maximum classification predictive label probability as a measure of uncertainty. However, this is not reflected in your GitHub pr…
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Needs to have a separate routine, rather than being part of ctsm_create_timeSeries. Also need to consider whether the data need to be converted to a wet weight basis before estimation. Increasingly …
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1.HoloPose: Holistic 3D Human Reconstruction In-The-Wild(2019)
mixture-of-experts rotation prior, part-based modeling( features co-varies with joint position)
code: can not open [http://arielai.com/…
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Hi,
Very impressed by your work. And I have been wondering since the ReduNet is a white-box, one should be able to write down what is the uncertainty of the ReduNet's prediction analytically. Say i…
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Hi,
Thank you for the excellent work.
I wonder to know thst in which part of the code I can find the Uncertainty Estimation.
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* [x] "The plot visualizes the degree of uncertainty in the estimation of new points"
* [x] Eigentlich würde es Sinn machen, die uncertainty vorhersagen (column `se` im opt path) dagegen zu plotten. …
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Hello, I am trying to use this repository for regression tasks (I can see the examples seem to focus on classification tasks).
I would like to do estimate epistemic and aleatoric uncertainty for m…
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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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In sustainability reporting, estimates are likely to happen quite often, considering that.
Data that has been estimated is still useful **if the extent of the uncertainty is clearly communicated**.…