Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

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Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

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Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical Documents

Understanding generalization and robustness in modern deep learning

Aggregating Spatial and Photometric Context for Photometric Stereo

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Towards Trustworthy Deep Learning for Image Reconstruction

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Random matrix methods for high-dimensional machine learning models

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Safe Deep Neural Networks

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Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

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Efficient local linearity regularization to overcome catastrophic overfitting

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