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Found 4 papers, 1 papers with code
Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing
The objective is to design a unified solution to minimize task execution time under different MTO scenarios.
Model Doctor for Diagnosing and Treating Segmentation Error
Despite the remarkable progress in semantic segmentation tasks with the advancement of deep neural networks, existing U-shaped hierarchical typical segmentation networks still suffer from local misclassification of categories and inaccurate target boundaries.
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions
We present a neural flow wavefunction, Gauge-Fermion FlowNet, and use it to simulate 2+1D lattice compact quantum electrodynamics with finite density dynamical fermions.
Gauge Invariant and Anyonic Symmetric Autoregressive Neural Networks for Quantum Lattice Models
Symmetries such as gauge invariance and anyonic symmetry play a crucial role in quantum many-body physics.
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