1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2023
Octree-based hierarchical sampling optimization for the volumetric super-resolution of scientific data
Xinjie Wang, Maoquan Sun, Yundong Guo +4
When introducing physics-constrained deep learning solutions to the volumetric super-resolution of scientific data, the training is challenging to converge and always time-consumin…
cs.LG2023★ 1 cited
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery
Daniel Manu, Jingjing Yao, Wuji Liu +1
Recent advances in deep learning have accelerated its use in various applications, such as cellular image analysis and molecular discovery. In molecular discovery, a generative adv…