A contact covariant approach to optimal control with applications to
  sub-Riemannian geometry
A generalized Fermat-Torricelli tree that has acquired a subconscious on
  a surface
Molecular dissipation in the nonlinear eddy viscosity in the
  Navier-Stokes equations: modelling of accretion discs Capacitor Based Activity Sensing for Kinetic Powered Wearable IoTs MRI Super-Resolution with Ensemble Learning and Complementary Priors Recent Advances of Image Steganography with Generative Adversarial
  Networks Local plasticity rules can learn deep representations using
  self-supervised contrastive predictions Toward a Thinking Microscope: Deep Learning in Optical Microscopy and
  Image Reconstruction On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian
  Learning Approach Logarithmic conformal field theory, log-modular tensor categories and
  modular forms Combined Daily Monitoring of Aerosol Optical Depths and Water Vapour
  Column Content during LACE 98 and LITFASS 98 Experiments Restoring a smooth function from its noisy integrals Correlation based networks of equity returns sampled at different time
  horizons Holographic approach to compact stars and their binary mergers Objective Probabilistic Forecasts of Future Climate Based on Jeffreys'
  Prior: the Case of Correlated Observables On Sylvester Waves and restricted partitions Generalized entanglement entropies in two-dimensional conformal field
  theory Superconducting optoelectronic circuits for neuromorphic computing Exploring atmospheric radon with airborne gamma-ray spectroscopy A Statistical Benchmark for BosonSampling
math.OC math.DG