A General Notion of Useful Information
Algorithmic randomness and Ramsey properties of countable homogeneous
  structures
Scaling Distributed Training of Flood-Filling Networks on HPC
  Infrastructure for Brain Mapping Generation of Solenoidal Modes and Magnetic Fields in Turbulence Driven
  by Compressive Driving The Thermodynamical Arrow of Time: Reinterpreting the Boltzmann-Schuetz
  Argument Target Identification Using Dictionary Matching of Generalized
  Polarization Tensors Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial
  Vehicles (MAVs) Counting solutions from finite samplings Scalable Community Detection over Geo-Social Network Measuring inter-cluster similarities with Alpha Shape TRIangulation in
  loCal Subspaces (ASTRICS) facilitates visualization and clustering of
  high-dimensional data A Big-Data Approach to Handle Process Variations: Uncertainty
  Quantification by Tensor Recovery Backtracking (the) Algorithms on the Hamiltonian Cycle Problem Energy Transport Property of Charged Particles with Time-Dependent
  Damping Force via Manifold-Based Analysis Approach Hyperpolarizabilities for the one-dimensional infinite single-electron
  periodic systems: II. Dipole-dipole versus current-current correlations Machine Learning Applications to Kronian Magnetospheric Reconnection
  Classification Using growth transform dynamical systems for spatio-temporal data
  sonification Why Genetic Information Processing could have a Quantum Basis The renormalization method based on the Taylor expansion and
  applications for asymptotic analysis A vector partition function for the multiplicities of sl_k(C) A nonlocal model describing tumor angiogenesis Multiple-Relaxation-Time Lattice Boltzmann Approach to Compressible
  Flows with Flexible Specific-Heat Ratio and Prandtl Number
cs.CC