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Unified Compositional Models for Visual Recognition

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Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resolution

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Neural Network Approaches for Video Transmission, Motion Estimation and Error Concealment

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Deep Reinforcement Learning based Wireless Resource Management

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Enhancing Safety and Robustness for Mission-critical Systems with Formal Methods

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Geometric deep learning in neuroimaging and human reward behavior

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Analytical Methods and Deep Priors on X-ray Ptychography, Computed Tomography, and Computed Laminography

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Auditory-inspired Approaches to Audio Representation and Analysis for Machine Hearing

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