Ricci solitons on Sasakian manifolds
Screw Motion Invariant Minimal Surfaces from Gluing Helicoids
Modelling movement for collective adaptive systems with CARMA Algebraic Geometry of Topological Spaces I White dwarf cooling and large extra dimensions Parametric Resonance in the Drift Motion of an Ionic Bubble in near
  critical Ar Gas A nonlinear and time-dependent visco-elasto-plastic rheology model for
  studying shock-physics phenomena Robust Learning of Mixtures of Gaussians Hardness of parameter estimation in graphical models A Variational Characterization of Fluid Sloshing with Surface Tension Effects of magnetic and kinetic helicities on the growth of magnetic
  fields in laminar and turbulent flows by helical-Fourier decomposition Dimensionality Reduction of Complex Metastable Systems via Kernel
  Embeddings of Transition Manifolds A non-ergodic probabilistic cellular automaton with a unique invariant
  measure Online Capacity Scaling Augmented With Unreliable Machine Learning
  Predictions Relational Linear Programs Optimal measure transportation with respect to non-traditional costs Lochlainn O'Raifeartaigh, Fluids, and Noncommuting Fields Robust Spammer Detection by Nash Reinforcement Learning Multiblock Grid Generation for Simulations in Geological Formations Deep Gaussian Processes for geophysical parameter retrieval Machine learning for protein folding and dynamics Pure Odd Frequency Superconductivity at the Cores of Proximity Vortices SciANN: A Keras/Tensorflow wrapper for scientific computations and
  physics-informed deep learning using artificial neural networks
math.DG