From Causal Inference to Autoencoders, Memorization & Gene Regulation - Caroline Uhler, MIT

From Causal Inference to Autoencoders, Memorization & Gene Regulation - Caroline Uhler, MIT

Alan Turing Institute via YouTube Direct link

Single-layer fully connected autoencoders

11 of 16

11 of 16

Single-layer fully connected autoencoders

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From Causal Inference to Autoencoders, Memorization & Gene Regulation - Caroline Uhler, MIT

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  1. 1 Intro
  2. 2 Motivation: From single-cell measurements to mechanisms
  3. 3 Overview
  4. 4 Structural equation models
  5. 5 Markov equivalence classes on 3 nodes
  6. 6 Interventional Markov equivalence class
  7. 7 Causal inference and genomics
  8. 8 Multidomain translation & integration using autoencoders
  9. 9 Lineage tracing using autoencoders and optimal transport
  10. 10 Memorization in autoencoders
  11. 11 Single-layer fully connected autoencoders
  12. 12 Memorization of training images by iteration
  13. 13 Different interpolating solutions for autoencoders
  14. 14 Memorization: Storing and retrieving images
  15. 15 Memorization: Storing and retrieving sequences
  16. 16 Conclusions

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