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06/16/2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
A computational workflow, also known as workflow, consists of tasks that...
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05/20/2023
SF-SFD: Stochastic Optimization of Fourier Coefficients to Generate Space-Filling Designs
Due to the curse of dimensionality, it is often prohibitively expensive ...
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05/19/2023
Learning Continually on a Sequence of Graphs – The Dynamical System Way
Continual learning (CL) is a field concerned with learning a series of i...
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02/20/2023
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
Classical problems in computational physics such as data-driven forecast...
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10/28/2021
Cooperative Deep Q-learning Framework for Environments Providing Image Feedback
In this paper, we address two key challenges in deep reinforcement learn...
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10/28/2021
Learning to Control using Image Feedback
Learning to control complex systems using non-traditional feedback, e.g....
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10/26/2021
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification
Deep neural networks are powerful predictors for a variety of tasks. How...
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09/28/2021