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Found 5 papers, 0 papers with code
AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs
We propose and demonstrate an alternating Fourier and image domain filtering approach for feature extraction as an efficient alternative to build a vision backbone without using the computationally intensive attention.
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.
