Robustness Verification of Quantum Classifiers
Learning to learn with quantum neural networks via classical neural
  networks
Triangulations of Conal Manifolds Application-level Studies of Cellular Neural Network-based Hardware
  Accelerators Distributing an Exact Algorithm for Maximum Clique: maximising the
  costup On the Acceleration of Deep Neural Network Inference using Quantized
  Compressed Sensing A multi-task learning model for malware classification with useful file
  access pattern from API call sequence Asymptotics and functional form of correlators in the XX - spin chain of
  finite length Stochastic Loewner Evolutions, Fuchsian Systems and Orthogonal
  Polynomials The Burgers equations as a first step towards the study of the
  incompressible flows (Lecture notes, in spanish) Geometric integrators and the Hamiltonian Monte Carlo method On formal concepts of random formal contexts Distributional solutions of Burgers' type equations for intrinsic graphs
  in Carnot groups of step 2 Transfer Learning in Astronomy: A New Machine-Learning Paradigm Polynomial tuning of multiparametric combinatorial samplers Sign Patterns of Inverse Doubly-Nonnegative Matrices Neuroscientific User Models: The Source of Uncertain User Feedback and
  Potentials for Improving Web Personalisation Domain Wall and Periodic Solutions of a Coupled phi6 Model Frobenius manifolds and quantum groups Hilbert schemes and $y$-ification of Khovanov-Rozansky homology Cut-out sets, fractal voids and cosmic structure Construction of complex potentials for multiply connected domains A Differentially Private Text Perturbation Method Using a Regularized
  Mahalanobis Metric SymbolicGPT: A Generative Transformer Model for Symbolic Regression
quant-ph cs.LG