
Interpretable Deep Multimodal Image SuperResolution
Multimodal image superresolution (SR) is the reconstruction of a high r...
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Multimodal Deep Unfolding for Guided Image SuperResolution
The reconstruction of a high resolution image given a low resolution obs...
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Multimodal Image Superresolution via Deep Unfolding with Side Information
Deep learning methods have been successfully applied to various computer...
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Deep CoupledRepresentation Learning for Sparse Linear Inverse Problems with Side Information
In linear inverse problems, the goal is to recover a target signal from ...
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Matrix Factorization via Deep Learning
Matrix completion is one of the key problems in signal processing and ma...
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Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference
Inferring air quality from a limited number of observations is an essent...
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Regularizing AutoencoderBased Matrix Completion Models via Manifold Learning
Autoencoders are popular among neuralnetworkbased matrix completion mo...
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Extendable Neural Matrix Completion
Matrix completion is one of the key problems in signal processing and ma...
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Twitter User Geolocation using Deep Multiview Learning
Predicting the geographical location of users on social networks like Tw...
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Multiview Deep Learning for Predicting Twitter Users' Location
The problem of predicting the location of users on large social networks...
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Deep Learning Sparse Ternary Projections for Compressed Sensing of Images
Compressed sensing (CS) is a sampling theory that allows reconstruction ...
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Evaggelia Tsiligianni
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