Investigating quark confinement from the viewpoint of lattice
  gauge-scalar models
Confinement in large N gauge theories
Iterated Block Particle Filter for High-dimensional Parameter Learning:
  Beating the Curse of Dimensionality Extended Hyperbolicity Duality Between Dirac Fermions in Curved Spacetime and Optical solitons
  in Non-Linear Schrodinger Model: Magic of $1+1$-Dimensional Bosonization A Lorentzian analog for Hausdorff dimension and measure A proof that artificial neural networks overcome the curse of
  dimensionality in the numerical approximation of Black-Scholes partial
  differential equations Proceedings of TDA: Applications of Topological Data Analysis to Data
  Science, Artificial Intelligence, and Machine Learning Workshop at SDM 2022 Twistor Theory and Differential Equations Vortex Loop Phase Transitions in Liquid Helium, Cosmic Strings, and
  High-T_c Superconductors A spatio-temporal stochastic pattern generator for simulation of
  uncertainties in geophysical ensemble prediction and ensemble data
  assimilation Explicit size distributions of failure cascades redefine systemic risk
  on finite networks Scaling Datalog for Machine Learning on Big Data Emergent complex geometry First storage of ion beams in the Double Electrostatic Ion-Ring
  Experiment - DESIREE Does Visual Self-Supervision Improve Learning of Speech Representations
  for Emotion Recognition? Consistent Spectral Clustering of Network Block Models under Local
  Differential Privacy Tuning the Topological $\theta$-Angle in Cold-Atom Quantum Simulators of
  Gauge Theories
hep-lat hep-th