Quantum Matrices by Paths
On isomorphism problems for vertex operator algebras associated with
  even lattices
Ultrarelativistic generalized Lorentzian thermodynamics and the
  differential cosmic ray energy flux Quantum Convolutional Neural Networks for High Energy Physics Data
  Analysis Thermalization dynamics of a gauge theory on a quantum simulator Improving Semantic Embedding Consistency by Metric Learning for
  Zero-Shot Classification The topology of spaces of probability measures, I SO(4) invariant basis functions for strongly correlated Fermi systems The speed of sequential asymptotic learning Near-Optimal Truthful Auction Mechanisms in Secondary Spectrum Markets Variational design for a structural family of CAD models Mutual Information and the Edge of Chaos in Reservoir Computers Dependability Analysis of Deep Reinforcement Learning based Robotics and
  Autonomous Systems Determining the maximum information gain and optimising experimental
  design in neutron reflectometry using the Fisher information Approximating matrix eigenvalues by subspace iteration with repeated
  random sparsification Approximating real-rooted and stable polynomials, with combinatorial
  applications Towards Reflectivity profile inversion through Artificial Neural
  Networks A Boolean algebra and a Banach space obtained by push-out iteration Energetic and entropic cost due to overlapping of Turing-Hopf
  instabilities in presence of Cross Diffusion A complex network analysis of ethnic conflicts and human rights
  violations Distributed Detection via Bayesian Updates and Consensus Low-energy effective theory of the toric code model in a parallel field
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