Robust Optimization through Neuroevolution
Universal approximations of invariant maps by neural networks
The cone of $5\times 5$ completely positive matrices Relations between variability of the photospheric and interplanetary
  magnetic fields, solar wind and geomagnetic characteristics EstrellaNueva: an open-source software to study the interactions and
  detection of neutrinos emitted by supernovae Theory of time-resolved non-resonant x-ray scattering for imaging
  ultrafast coherent electron motion Predicting highway lane-changing maneuvers: A benchmark analysis of
  machine and ensemble learning algorithms Variational principle for steady states of dissipative quantum many-body
  systems Georeactor Variability and Integrity Nearly-Unsupervised Hashcode Representations for Relation Extraction Propagating phase boundaries as sonic horizons Frequency comb and machine learning-based breath analysis for COVID-19
  classification Leading Digit Laws on Linear Lie Groups Christoffel transformations for matrix orthogonal polynomials in the
  real line and the non-Abelian 2D Toda lattice hierarchy Logarithmic divergences: geometry and interpretation of curvature Pattern formation and nonlocal logistic growth Free particles from Brauer algebras in complex matrix models Self-organization of ultrasound in viscous fluids Spectral Learning of Large Structured HMMs for Comparative Epigenomics Projections for COVID-19 spread in India and its worst affected five
  states using the Modified SEIRD and LSTM models A Cloud-Edge-Terminal Collaborative System for Temperature Measurement
  in COVID-19 Prevention String/Quantum Gravity motivated Uncertainty Relations and
  Regularisation in Field Theory Average Elliptic Billiard Invariants with Spatial Integrals Quantifying how much sensory information in a neural code is relevant
  for behavior Code C# for chaos analysis of relativistic many-body systems
cs.NE