Resumming Cosmic Perturbations
Very Light Cosmological Scalar Fields from a Tiny Cosmological Constant
Highly-efficient generation of coherent light at 2128 nm via degenerate
  optical-parametric oscillation Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models Topological Origin of Equatorial Waves Multidimensional Data Tensor Sensing for RF Tomographic Imaging GELATO and SAGE: An Integrated Framework for MS Annotation Spin precession in the gravity wave analogue black hole spacetime Network Classifiers Based on Social Learning New views of crystal symmetry guided by profound admiration of the
  extraordinary works of Grassmann and Clifford Rainfall Advection using Velocimetry by Multiresolution Viscous
  Alignment A Multi-Stage Clustering Framework for Automotive Radar Data Physics-Informed Machine Learning Method for Large-Scale Data
  Assimilation Problems Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement
  Learning Approach Plasma Shock Layer Equations Significance Relations for the Benchmarking of Meta-Heuristic Algorithms Non-parametric Bayesian Learning with Deep Learning Structure and Its
  Applications in Wireless Networks Energy-Casimir stability of hybrid Vlasov-MHD models Can Machine Learning Model with Static Features be Fooled: an
  Adversarial Machine Learning Approach Raman scattering of plane-wave and twisted light off chiral molecular
  liquids AFLT-type Selberg integrals Reconstructing cellular automata rules from observations at
  nonconsecutive times
astro-ph hep-ph hep-th