NIPS Proceedingsβ

Jakob H. Macke

5 Papers

  • Intrinsic dimension of data representations in deep neural networks (2019)
  • Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations (2017)
  • Fast amortized inference of neural activity from calcium imaging data with variational autoencoders (2017)
  • Flexible statistical inference for mechanistic models of neural dynamics (2017)
  • Inferring neural population dynamics from multiple partial recordings of the same neural circuit (2013)