Asymptotic absorption-time distributions in extinction-prone Markov
  processes
When the mean is not enough: Calculating fixation time distributions in
  birth-death processes
Explicit Solution to the Constant Radial Acceleration Problem Generalized Autoregressive Score Models in R: The GAS Package Machine Learned H\"uckel Theory: Interfacing Physics and Deep Neural
  Networks Classical and quantum regimes of the superfluid turbulence On the spectral gap in Andreev graphs On the isometry group of the Urysohn space Inverting Nonlinear Dimensionality Reduction with Scale-Free Radial
  Basis Function Interpolation Finite Random Domino Automaton Faster Algorithms for Testing under Conditional Sampling Classification of digital affine noncommutative geometries Intermittency of Burgers' Turbulence Comparing Numerical Integration Schemes for Time-Continuous
  Car-Following Models Learning low-rank latent mesoscale structures in networks Mean Field Equilibrium: Uniqueness, Existence, and Comparative Statics Learning neutrino effects in Cosmology with Convolutional Neural
  Networks Classical non-equilibrium statistical mechanics and an "open system
  dynamics" perspective on quantum-classical analogy Geometric Deep Learning on Molecular Representations Asymmetric Minwise Hashing Inertial Migration of Aerosol Particles in Confined Microfluidic
  Channels Proceedings 2014 International Workshop on Advanced Intrusion Detection
  and Prevention
cond-mat.stat-mech q-bio.PE