Learned 3D Shape Representations Using Fused Geometrically Augmented
  Images: Application to Facial Expression and Action Unit Detection
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
Geodesic dynamics in Chazy-Curzon spacetimes On recent strategies proposed for proving the Riemann hypothesis Almost Euclidean sections of the N-dimensional cross-polytope using O(N)
  random bits Convergence rates for Penalised Least Squares Estimators in
  PDE-constrained regression problems Zermelo's problem: Optimal point-to-point navigation in 2D turbulent
  flows using Reinforcement Learning Breather Solutions to the Cubic Whitham Equation Optimal approximation for unconstrained non-submodular minimization Developing an Interactive Tutorial on a Quantum Eraser Large scale solitonic back-reaction effects in pre-inflation Randomized box-ball systems, limit shape of rigged configurations and
  Thermodynamic Bethe ansatz Assessment of unsteady flow predictions using hybrid deep learning based
  reduced order models Scaling limits for continuous opinion dynamics systems Entropic Causality and Greedy Minimum Entropy Coupling JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction
  from incomplete data TomograPy: A Fast, Instrument-Independent, Solar Tomography Software Network-based information filtering algorithms: ranking and
  recommendation Comparison of Polynomial Chaos and Gaussian Process surrogates for
  uncertainty quantification and correlation estimation of spatially
  distributed open-channel steady flows Black-box Adversarial ML Attack on Modulation Classification Spectrum Coordination in Energy Efficient Cognitive Radio Networks
cs.CV