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GitHub14d
variational-autoencoder
The work I've done about the "Analysis of the latent space in the variational auto-encoder" to complete my Master's degree.
C&EN17d
Transformation-Free Generation of a Quasi-Diabatic Representation from the State-Average Orbital-Optimized Variational Quantum Eigensolver
IT4Innovations, VSB─Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic ...
IEEE19d
Complex Recurrent Variational Autoencoder for Speech Resynthesis and Enhancement
This paper proposes a complex recurrent variational autoencoder (VAE) framework, for modeling time series data, particularly speech signals. First, to account for the temporal structure of speech ...
IEEE20d
Dynamic Graph Variational Sparse Coding for Power Distribution Network Fault Location and Classification
A dynamic graph variational autoencoder (DGVAE) is developed to learn the generative spatiotemporal features of the dynamic graph. The DGVAE incorporates a new edge propagation graph convolutional ...
C&EN26d
Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors
Department of Computer Science, Vanderbilt University, 2201 West End Ave, Nashville, Tennessee 37235, United States ...