NIPS Proceedingsβ

Lars Buesing

9 Papers

  • Fast amortized inference of neural activity from calcium imaging data with variational autoencoders (2017)
  • Imagination-Augmented Agents for Deep Reinforcement Learning (2017)
  • Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) (2015)
  • Clustered factor analysis of multineuronal spike data (2014)
  • Inferring neural population dynamics from multiple partial recordings of the same neural circuit (2013)
  • Spectral learning of linear dynamics from generalised-linear observations with application to neural population data (2012)
  • Empirical models of spiking in neural populations (2011)
  • On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing (2008)
  • Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons (2007)