Search Results for author:
Found 4 papers, 0 papers with code
Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE
Variational auto-encoder (VAE) is an effective neural network architecture to disentangle a speech utterance into speaker identity and linguistic content latent embeddings, then generate an utterance for a target speaker from that of a source speaker.
glassoformer: a query-sparse transformer for post-fault power grid voltage prediction
Due to the sparsified queries, GLassoformer is more computationally efficient than the standard transformers.
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19
For edge feature, we design an RNN model to capture the neighboring effect and regularize the landscape of loss function so that local minima are effective and robust for prediction.
A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19
Modeling the trend of infection and real-time forecasting of cases can help decision making and control of the disease spread.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
