Analysis of one- and two-particle spectra at RHIC based on a
  hydrodynamical model
$\pi_{e3}$ form factor $f_{-}$ near the mass shell
Estimating the historical and future probabilities of large terrorist
  events The Electron Capture $^{163}$Ho Experiment ECHo Adaptive Selection of Deep Learning Models on Embedded Systems Physics-informed Gaussian Process for Online Optimization of Particle
  Accelerators Coherent Oscillations of Driven rf SQUID Metamaterials Characterizing predictable classes of processes Mechanics of Cosserat media: I. non-relativistic statics Optical excitations in hexagonal nanonetwork materials Integrable model for density-modulated quantum condensates: solitons
  passing through a soliton lattice Sparse Symplectically Integrated Neural Networks Adaptive Kernel Estimation of the Spectral Density with Boundary Kernel
  Analysis Towards a Mathematical Understanding of the Difficulty in Learning with
  Feedforward Neural Networks Non-linear estimation is easy Linear Programming for Large-Scale Markov Decision Problems Multi-Scale Learned Iterative Reconstruction Initialization and Regularization of Factorized Neural Layers Efficient cache oblivious algorithms for randomized divide-and-conquer
  on the multicore model Fabrication-aware Design for Furniture with Planar Pieces Back-scatter based whispering gallery mode sensing
hep-ph nucl-th