Sandpile models in the large
Skewness and Kurtosis in Stochastic Thermodynamics
Roadmap on Signal Processing for Next Generation Measurement Systems Spontaneous atomic crystallization via diffractive dephasing in optical
  cavities An Interactive 3D Visualization Tool for Large Scale Data Sets for
  Quantitative Atom Probe Tomography Anonymity and Confidentiality in Secure Distributed Simulation Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous
  Academic Networks A hybrid deep learning approach for purchasing strategy of carbon
  emission rights -- Based on Shanghai pilot market Non-intrusive hierarchical coupling strategies for multi-scale
  simulations in gravitational dynamics Multi-horizon solar radiation forecasting for Mediterranean locations
  using time series models Locally Non-linear Embeddings for Extreme Multi-label Learning Kinetic plasma turbulence during the nonlinear stage of the
  Kelvin-Helmholtz instability Differential cohomology and locally covariant quantum field theory An Evolutionary Strategy based on Partial Imitation for Solving
  Optimization Problems Transparency in a periodic chain of quantum emitters strongly coupled to
  a waveguide Correlation Probes of a QCD Critical Point Lead clusters: different potentials, different structures Pigeonring: A Principle for Faster Thresholded Similarity Search The local spectrum of the Dirac operator for the universal cover of
  $SL_2(\mathbb R)$ Atomic positions independent descriptor for machine learning of material
  properties Gradual Relation Network: Decoding Intuitive Upper Extremity Movement
  Imaginations Based on Few-Shot EEG Learning On the origins of Riemann-Hilbert problems in mathematics A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and
  Synapses Alternating the Population and Control Neural Networks to Solve
  High-Dimensional Stochastic Mean-Field Games
cond-mat.stat-mech math-ph math.MP