Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

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Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

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Posterior-Based Analysis of Spatio-Temporal Features for Sign Language Assessment

Incorporating Projective Geometry into Deep Learning

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

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Understanding generalization and robustness in modern deep learning

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Residual-based attention in physics-informed neural networks

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Self-supervised Change Detection via Cooperative Learning: A Two-Player Model

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

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