Perturbation-based inference for diffusion processes: Obtaining
  effective models from multiscale data
Perturbation expansions of signal subspaces for long signals
Kick control: using the attracting states arising within the
  sensorimotor loop of self-organized robots as motor primitives Exactly-solvable models for atom-molecule hamiltonians Zeta-regularized vacuum expectation values from quantum computing
  simulations A Geometric Perspective on Quantum Parameter Estimation On the Complexity of Solving Subtraction Games SLAM using ICP and graph optimization considering physical properties of
  environment Two mini-band model for self-sustained oscillations of the current
  through resonant tunneling semiconductor superlattices Toward an enhanced Bayesian estimation framework for multiphase flow
  soft-sensing Generation of vortex particles via weak measurements Network Coordination and Synchronization in a Noisy Environment with
  Time Delays Strange Quark Stars as Probe of Dark Matter Algebraic independence of sequences generated by (cyclotomic) harmonic
  sums Memory Capacity of Neural Turing Machines with Matrix Representation A Novel Framework for Spatio-Temporal Prediction of Environmental Data
  Using Deep Learning Some conjectures on codes TopoAct: Visually Exploring the Shape of Activations in Deep Learning The role of a layer in deep neural networks: a Gaussian Process
  perspective "Turbulent" electrical transport in Copper powders The algebra and machine representation of statistical models
math.NA math.ST stat.TH