
Zekai Zhang
PhD student at University of Michigan EECS
- Ann Arbor, MI
- University of Michigan
- Google Scholar
- GitHub
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Learning discrete diffusion – MH sampling
4 minute read
Published:
Metropolis–Hastings (MH) is a Markov chain Monte Carlo method that repeatedly draws proposals from a simple distribution and updates the current state with an accept/reject rule.
Thoughts on Generalization in Diffusion Models
less than 1 minute read
Published:
Generalization is the implicit alignment between neural networks and the underlying data distribution, shaped by both data and human perception.
Note number 4
less than 1 minute read
Published:
This is a sample note. Lorem ipsum: I can’t remember the rest of lorem ipsum and don’t have an internet connection right now, so this placeholder text will do. Testing, testing, testing this note. Notes are cool.
Note number 3
less than 1 minute read
Published:
This is a sample note. I cannot remember the rest of lorem ipsum and do not have an internet connection right now, so this placeholder text will do. Testing, testing, testing this note. Notes are cool.