22 citations · 42 across the 8 of their papers we have counts for
3 papers · 1 filter
Improving Variational Autoencoder using Random Fourier Transformation: An Aviation Safety Anomaly Detection Case-Study
Ata Akbari Asanjan, Milad Memarzadeh, Bryan Matthews +1
In this study, we focus on the training process and inference improvements of deep neural networks (DNNs), specifically Autoencoders (AEs) and Variational Autoencoders (VAEs), usin…
Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting
Ata Akbari Asanjan, Filip Wudarski, Daniel O'Connor +4
Forecasting high-dimensional spatiotemporal systems remains computationally challenging for recurrent neural networks (RNNs) and long short-term memory (LSTM) models due to gradien…
GAIA: A Foundation Model for Operational Atmospheric Dynamics
Ata Akbari Asanjan, Olivia Alexander, Tom Berg +12
We introduce GAIA (Geospatial Artificial Intelligence for Atmospheres), a hybrid self-supervised geospatial foundation model that fuses Masked Autoencoders (MAE) with self-distilla…