Learning in the Machine: Random Backpropagation and the Deep Learning
  Channel
TerpreT: A Probabilistic Programming Language for Program Induction
Repetitive equivalences and good Wakamatsu-tilting modules Higher Dimensional Consensus: Learning in Large-Scale Networks LDE-Net: L\'evy Induced Stochastic Differential Equation Equipped with
  Neural Network for Time Series Forecasting Pointwise Weyl Laws for Schr\"odinger operators with singular potentials Quantum error correction with fractal topological codes Tony Skyrme and the Origins of Skyrmions RNTuple performance: Status and Outlook Success Exponent of Wiretapper: A Tradeoff between Secrecy and
  Reliability The wave equation for stiff strings and piano tuning Stochastic Resonance in Ion Channels Characterized by Information Theory Reconstruction of the early Universe as a convex optimization problem Extremal values of semi-regular continuants and codings of interval
  exchange transformations Information contraction in noisy binary neural networks and its
  implications A Framework for Debugging Java Programs in a Bytecode Extended Affinity Propagation: Global Discovery and Local Insights What's for Lunch? A systematic ordering of foods in the
  Soup-Salad-Sandwich phase space The Building Blocks of Spatiotemporal Intermittency Metastability in the Greenberg-Hastings Model Input Parameters Optimization in Swarm DS-CDMA Multiuser Detectors Instabilities Appearing in Effective Field theories: When and How? Distributed Coordinate Descent Method for Learning with Big Data
cs.LG cs.AI cs.NE