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08/05/2023
A generative model for surrogates of spatial-temporal wildfire nowcasting
Recent increase in wildfires worldwide has led to the need for real-time...
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06/07/2023
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
Vision-Language Pretraining (VLP) has demonstrated remarkable capabiliti...
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04/29/2023
Analyzing drop coalescence in microfluidic device with a deep learning generative model
Predicting drop coalescence based on process parameters is crucial for e...
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03/22/2023
Frozen Language Model Helps ECG Zero-Shot Learning
The electrocardiogram (ECG) is one of the most commonly used non-invasiv...
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03/18/2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensive...
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04/07/2022
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Reduced-order modelling and low-dimensional surrogate models generated u...
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11/11/2021
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks
Data assimilation techniques are widely used to predict complex dynamica...
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06/09/2021
Observation data compression for variational assimilation of dynamical systems
Accurate estimation of error covariances (both background and observatio...
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01/31/2020
A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping
An original graph clustering approach to efficient localization of error...
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10/11/2019