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Deep neural networks for plasma tomography with applications to JET and COMPASS

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Deep neural networks for plasma tomography with applications to JET and COMPASS

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Enabling Uncertainty Estimation in Iterative Neural Networks

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

Deep Learning Generalization with Limited and Noisy Labels

Estimating and Improving the Robustness of Attributions in Text

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Discriminative Deep Feature Visualization for Explainable Face Recognition

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

Enabling Uncertainty Estimation in Iterative Neural Networks

Regularization of polynomial networks for image recognition

Estimating and Improving the Robustness of Attributions in Text

Deep Learning Generalization with Limited and Noisy Labels

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Regularization of polynomial networks for image recognition

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Discriminative Deep Feature Visualization for Explainable Face Recognition