3 papers
cs.LG2024
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective
Li Wang, Wei Huang
Variational Auto-Encoders (VAEs) have emerged as powerful probabilistic models for generative tasks. However, their convergence properties have not been rigorously proven. The chal…
cs.IT2022
Propagation Path Loss Models in Forest Scenario at 605 MHz
Zhe Xiao, Shu Sun, Zhenyu Liu +4
When signals propagate through forest areas, they will be affected by environmental factors such as vegetation. Different types of environments have different influences on signal…
cs.LG2021
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis
Miao Zhang, Wei Huang, Li Wang
The recently proposed training-free NAS methods abandon the training phase and design various zero-cost proxies as scores to identify excellent architectures, arousing extreme comp…