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05/25/2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks
Oversmoothing in Graph Neural Networks (GNNs) refers to the phenomenon w...
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04/25/2023
Learning Task-Specific Strategies for Accelerated MRI
Compressed sensing magnetic resonance imaging (CS-MRI) seeks to recover ...
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08/26/2022
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training
In this paper, we investigate on improving the adversarial robustness ob...
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05/24/2022
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization
Adversarial training (AT) has proven to be one of the most effective way...
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05/13/2021
End-to-End Sequential Sampling and Reconstruction for MR Imaging
Accelerated MRI shortens acquisition time by subsampling in the measurem...
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06/05/2020
Scalable Plug-and-Play ADMM with Convergence Guarantees
Plug-and-play priors (PnP) is a broadly applicable methodology for solvi...
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09/04/2019
