1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.PF2026
Optimus: A Generic Operator-Level PyTorch Model Transformation Framework
Menglu Yu, Jiaqi Xu, Yuzhen Huang +19
In large-scale industrial applications, deep learning models that power recommendation and ranking have complex and diverse model architectures. These models are continuously devel…
cs.DC2024★ 1 cited
SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile
Ruisi Zhang, Tianyu Liu, Will Feng +4
Distributed training of large models consumes enormous computation resources and requires substantial engineering efforts to compose various training techniques. This paper present…
hep-ph2024
Detecting highly collimated photon-jets from Higgs boson exotic decays with deep learning
Xiaocong Ai, William Y. Feng, Shih-Chieh Hsu +2
Recently, there has been a growing focus on the search for anomalous objects beyond standard model (BSM) signatures at the Large Hadron Collider (LHC). This study investigates nove…