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Inferring stochastic low-rank recurrent neural networks from neural data.

Matthijs PalsA Erdem SagtekinFelix PeiManuel GlöcklerJakob H. Macke
Published in: CoRR (2024)
Keyphrases
  • recurrent neural networks
  • missing data
  • low rank
  • data sets
  • neural network
  • high dimensional data
  • data analysis
  • convex optimization
  • matrix factorization
  • pattern recognition
  • high dimensional
  • image data
  • feed forward