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RSchaeffer

Karma
164
Created
9 years ago

Recent Submissions

  1. 1. Turning Down the Heat: A Critical Analysis of Min-P Sampling in Language Models (twitter.com)
  2. 2. How Do Large Language Monkeys Get Their Power (Laws)? (arxiv.org)
  3. 3. No Free Lunch from Deep Learning in Neuroscience (twitter.com)
  4. 4. No Free Lunch from Deep Learning in Neuroscience (twitter.com)
  5. 5. Ask HN: How to develop React+Flask locally in a way that can easily be deployed?
  6. 6. Experience replay in machines and mammals (rylanschaeffer.github.io)
  7. 7. Bay Area housing is fucked in more ways than you might think (rylanschaeffer.github.io)
  8. 8. Harvard Applied Math 226 Neural Computation (github.com)
  9. 9. Fundamental bounds on learning performance in neural circuits [pdf] (rylanschaeffer.github.io)
  10. 10. Cryptographic preregistration: from Newton to fMRI (medium.com)

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