NIPS Proceedingsβ

Sepp Hochreiter

9 Papers

  • GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium (2017)
  • Self-Normalizing Neural Networks (2017)
  • Rectified Factor Networks (2015)
  • Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems (2002)
  • Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers (2002)
  • Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models (2000)
  • Source Separation as a By-Product of Regularization (1998)
  • LSTM can Solve Hard Long Time Lag Problems (1996)
  • SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA (1994)