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06/11/2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
Feature visualization has gained substantial popularity, particularly af...
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09/27/2022
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)
In this paper, we are interested in the acceleration of numerical simula...
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07/13/2022
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning
Tackling new machine learning problems with neural networks always means...
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06/13/2022
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
This paper presents a new efficient black-box attribution method based o...
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01/20/2021
A Taylor Based Sampling Scheme for Machine Learning in Computational Physics
Machine Learning (ML) is increasingly used to construct surrogate models...
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01/19/2021