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If one looks very carefully at how diffusion models equation is written down. It is very clear that there is connection between Bayesian Posterior and current diffusion Model. In Bayesian Statistics, we have $\theta \sim \pi(\theta)$ and ${\bf X} = {x_1,\cdots x_T} \sim f(x\mid \theta)$
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Just read through a paper from Arxiv. This topic is very interesting. “High order theory of mind”: the human ability to reason about multiple mental and emotional states in a recursive manner (e.g. I think that you believe that she knows). This step by step recursive reasoning should be what AI are good at since they should be good at recursively applying the same logic. The issue is to save within the AI framework, any mid-results that is found.
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Dear Readers of my technical blogpost, if you ever have the chance to come to this point. Well, first thing, thanks for coming to my blog series where I have decided to write about what I read over the years and pick out something interesting. I have done similar work before but it failed partially due to the fact that I was not able to be productive. In fact, I am pretty bad and maintaining something with positive feedback so maybe I will share this work on Medium or whatever platform neccesary to maintain a positive feedback loop. At the moment, I am thinking about just making this as a piece of notetaker for the papers that I have read. I will summarize the ideas in the paper but I will try not to comment on the work unless I have the oppportunity to play with properly. This blog series will mainly focus on
Published:
Dear Readers of my technical blogpost, if you ever have the chance to come to this point. Well, first thing, thanks for coming to my blog series where I have decided to write about what I read over the years and pick out something interesting. I have done similar work before but it failed partially due to the fact that I was not able to be productive. In fact, I am pretty bad and maintaining something with positive feedback so maybe I will share this work on Medium or whatever platform neccesary to maintain a positive feedback loop. At the moment, I am thinking about just making this as a piece of notetaker for the papers that I have read. I will summarize the ideas in the paper but I will try not to comment on the work unless I have the oppportunity to play with properly. This blog series will mainly focus on