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www.nicktasios.nl | ||
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comsci.blog
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| | | | | In this blog post, we will learn about vision transformers (ViT), and implement an MNIST classifier with it. We will go step-by-step and understand every part of the vision transformers clearly, and you will see the motivations of the authors of the original paper in some of the parts of the architecture. | |
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tiao.io
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| | | | | An in-depth practical guide to variational encoders from a probabilistic perspective. | |
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jaketae.github.io
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| | | | | In this short post, we will take a look at variational lower bound, also referred to as the evidence lower bound or ELBO for short. While I have referenced ELBO in a previous blog post on VAEs, the proofs and formulations presented in the post seems somewhat overly convoluted in retrospect. One might consider this a gentler, more refined recap on the topic. For the remainder of this post, I will use the terms "variational lower bound" and "ELBO" interchangeably to refer to the same concept. I was heavily inspired by Hugo Larochelle's excellent lecture on deep belief networks. | |
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sander.ai
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| | | More thoughts on diffusion guidance, with a focus on its geometry in the input space. | ||
