Questions tagged [probabilistic-machine-learning]

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Should the norm of samples from an untrained denoising diffusion probabilistic model scale with number of diffusion steps?

I have implemented a diffusion probabilistic model for the first time, and I am finding some of the model behavior undesirable, but I am not sure if it is normal or the result of an incorrect ...
Jabby's user avatar
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What is the difference between Probabilistic Graphical models and Graph Neural networks?

While going over PGMs and GNNs, it seems like both leverage the graph data structure. The former has been used to represent causal associations (among other things), while the latter has a varied set ...
desert_ranger's user avatar
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What is the definition of "confidence interval" around a (complicated) function?

Consider the following excerpt from Chapter 5: Machine Learning Basics from the book titled Deep Learning (by Aaron Courville et al.) Machine learning is essentially a form of applied statistics with ...
hanugm's user avatar
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What does a hybrid Bayesian network contain?

The field of artificial intelligence is so vast. There are many methodologies for handling continuous data, and I have just read about the hybrid Bayesian network. I just want to know that what a ...
saiqa jabeen's user avatar
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How would AI be able to self-examine?

As I see some cases of machine-learning based artificial intelligence, I often see they make critical mistakes when they face inexperienced situations. In our case, when we encounter totally new ...
A Cat Named Tiger's user avatar