Large-deviation principles, stochastic effective actions, path
  entropies, and the structure and meaning of thermodynamic descriptions
Q-colourings of the triangular lattice: Exact exponents and conformal
  field theory
Coarse Graining Molecular Dynamics with Graph Neural Networks MPGD simulation in negative-ion gas for direction-sensitive dark matter
  searches Text Classification and Clustering with Annealing Soft Nearest Neighbor
  Loss Multifractal analysis of stress time series during ultrathin lubricant
  film melting Trial wave functions with long-range Coulomb correlations for
  two-dimensional N-electron systems in high magnetic fields Flocking of the Cucker-Smale and Motsch-Tadmor models on general
  weighted digraphs via a probabilistic method Highly Multiplexible Thermal Kinetic Inductance Detectors for X-Ray
  Imaging Spectroscopy ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep
  Reinforcement Learning Optimality Bounds for a Variational Relaxation of the Image Partitioning
  Problem Dynamics of photo-activated Coulomb complexes Hybrid Poisson and multi-Bernoulli filters Soliton concepts and the protein structure Galois Groups in the work of Mira Fernandes Predictions about the behaviour of diamond, silicon, SiC and some AIIIBV
  semiconductor materials in hadron fields Learning to Schedule Communication in Multi-agent Reinforcement Learning Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space The Shapley Value of Classifiers in Ensemble Games Programming multi-level quantum gates in disordered computing reservoirs
  via machine learning and TensorFlow
cond-mat.stat-mech math-ph math.MP