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We currently have an example notebook: https://pgmpy.org/examples/Creating%20a%20Discrete%20Bayesian%20Network.html for creating discrete Bayesian networks but not for Linear Gaussian BNs. Write a sim…
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We would like to edit the `Gaussian Activation Function` concept entry under AI. …
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I have a graph that involves several Gaussian processes. One of my latent nodes, a_j, is separated from the next latent node by a deterministic node and a factor. I believe a_j requires a custom messa…
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The `pgmpy.utils.get_example_model` function is able to load discrete variable models from the bnlearn repository: https://www.bnlearn.com/bnrepository/. However, loading the Gaussian Bayesian Network…
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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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https://arxiv.org/abs/1711.00165
- Jaehoon Lee, Yasaman Bahri, Roman Novak, Samuel S. Schoenholz, Jeffrey Pennington, Jascha Sohl-Dickstein
- Submitted on 1 Nov 2017
TMats updated
6 years ago
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Hi,
I am trying to use tensorflow probability to learn a Bayesian neural networks. I want to learn the responses y_t based on input features x_t, i.e.
` y_t = f(x_t) + eps`
where f(x_t) is th…
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Bug bounty logistic details (click to expand)
To claim exclusive time to work on this bounty either post a comment here or message [skrastanov@umass.edu](mailto:skrastanov@umass.edu) with:
- y…
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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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