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Hi, thanks for this nice smt!
I have a few high Fidelity data, and also many low Fidelity data, then how to build a data-driven Multi-Fidelity Kriging with accurracy validation on high Fidelity da…
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Dear Ax Team,
I am currently trying to run a MOMF use case in the Service API; have been mostly consulting the BoTorch tutorials for this, and so far I have come up with the following repro that se…
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NeRF-Insert: 3D Local Editing with Multimodal Control Signals
https://arxiv.org/abs/2404.19204
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Mentioned by Tonio:
https://www.nature.com/articles/s41586-019-1335-8
https://twitter.com/toniobuonassisi/status/1555616848414232578
From the article:
> "Finally, we tested whether our model—if …
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There's an idea I'm playing around with and thinking about implementing to make some of the advanced BO topics more accessible, especially in chemistry and materials science.
With the `escience` no…
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Hi everybody,
I have some questions about the multi-fidelity model:
1. For the hyper-parameters of the multi-fidelity model, does emukit find them with the log-likelihood of the whole data (chea…
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Randomly sampling 13 times is enough to discover a configuration with negative memory:
```python
from hpobench.container.benchmarks.surrogates.yahpo_gym import YAHPOGymBenchmark
scenario = 'rbv…
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The [planning document](https://docs.google.com/document/d/1bDzZ_BwYDCqxDfwiM1l0UoVhlD8BXCeINjT9r4r8AYM/edit?ts=5ef4fd32#) for the multi-tenant L3 VLAN says that outbound network ACLs will be applied.…
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Hi I read your whitepaper and it seems that the algorithms used here mostly require sampling of the hyperparameter space and then based on the training results, create a model of the hyperparameter sp…