Narses: A Scalable Flow-Based Network Simulator
Delay-Optimal Scheduling for Queueing Systems with Switching Overhead
OutbreakFlow: Model-based Bayesian inference of disease outbreak
  dynamics with invertible neural networks and its application to the COVID-19
  pandemics in Germany Research towards high-repetition rate laser-driven X-ray sources for
  imaging applications Metastability in Spin-Polarized Fermi Gases Implicit Regularization of Accelerated Methods in Hilbert Spaces Experience Augmentation: Boosting and Accelerating Off-Policy
  Multi-Agent Reinforcement Learning Quantum Exact Non-Abelian Vortices in Non-relativistic Theories Relativistic nature of a magnetoelectric modulus of Cr_2O_3-crystals: a
  new 4-dimensional pseudoscalar and its measurement Adversarial Interaction Attack: Fooling AI to Misinterpret Human
  Intentions Fundamental constants and their variability in theories of High Energy
  Physics Simple Heuristics Yield Provable Algorithms for Masked Low-Rank
  Approximation Diffeological Principal Bundles and Principal Infinity Bundles Intermediate Asymptotics of the Capillary-Driven Thin Film Equation Learning Mixed Graphical Models Chaos as an interpretable benchmark for forecasting and data-driven
  modelling Nonlocal wave turbulence in non-Abelian plasmas Approximating Hamiltonian dynamics with the Nystr\"om method A Resolution of the Paradox of Enrichment On five papers by Herbert Gr{\"o}tzsch Towards an Interpretable Data-driven Trigger System for High-throughput
  Physics Facilities Soft modes of the dielectric response in the twist-bend nematic phase
  and identification of the transition to nematic splay bend phase in the dimer
  CBC7CB
cs.PF cs.NI