A gradual, semi-discrete approach to generative network training via
  explicit Wasserstein minimization
Correlated Variational Auto-Encoders
Learning 2D Temporal Adjacent Networks for Moment Localization with
  Natural Language Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for
  Interference Management Picturing classical and quantum Bayesian inference Early-warning signals of topological collapse in interbank networks Multi-resolution neural networks for tracking seismic horizons from few
  training images Detecting False Data Injection Attacks in Smart Grids with Modeling
  Errors: A Deep Transfer Learning Based Approach AtmoHEAD 2013 workshop / Atmospheric Monitoring for High-Energy
  Astroparticle Detectors A state of the art of urban reconstruction: street, street network,
  vegetation, urban feature A physical model for efficient ranking in networks The graph bottleneck identity Biocosmology: Towards the birth of a new science A dry electrophysiology electrode using CNT arrays Envy-free cake division without assuming the players prefer nonempty
  pieces Robust and scalable h-adaptive aggregated unfitted finite elements for
  interface elliptic problems Driving chemical reactions with polariton condensates The world according to Renyi: Thermodynamics of multifractal systems Beyond relativistic mean-field approach for nuclear octupole excitations Anomalous thickness-dependent electrical conductivity in van der Waals
  layered transition metal halide, Nb_3Cl_8
cs.LG stat.ML