On the convergence analysis of over-parameterized variational autoencoders: a neural tangent kernel perspective
Sign Up to like & getrecommendations! Published in 2024 at "Machine Learning"
DOI: 10.1007/s10994-024-06683-z
Abstract: Variational Auto-Encoders (VAEs) have emerged as powerful probabilistic models for generative tasks. However, their convergence properties have not been rigorously proven. The challenge of proving convergence is inherently difficult due to the highly non-convex nature… read more here.
Keywords: convergence analysis; neural tangent; analysis parameterized; tangent kernel ... See more keywords
Automatic Neural Network Construction based on Neural Tangent Kernel for IRS-Aided Beamforming
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2025.3589367
Abstract: Intelligent reflecting surface (IRS) emerges as a promising technology to enhance wireless communication in recent years. However, the applications of deep learning algorithms within RIS-aided communication systems often suffer performance degradation under extreme conditions owing… read more here.
Keywords: neural tangent; neural network; tangent kernel;
On the Explainability of Graph Convolutional Network With GCN Tangent Kernel
Sign Up to like & getrecommendations! Published in 2022 at "Neural Computation"
DOI: 10.1162/neco_a_01548
Abstract: Abstract Graph convolutional network (GCN) is a powerful deep model in dealing with graph data. However, the explainability of GCN remains a difficult problem since the training behaviors for graph neural networks are hard to… read more here.
Keywords: graph convolutional; network gcn; gcn; tangent kernel ... See more keywords