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Deep learning sparse ternary projections for compressed sensing of images.

, , and . GlobalSIP, page 1125-1129. IEEE, (2017)

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Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference., , , , , , , and . ICASSP, page 7535-7539. IEEE, (2019)Multimodal Deep Unfolding for Guided Image Super-Resolution., , , and . IEEE Trans. Image Process., (2020)Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers., , , and . EUSIPCO, page 780-783. IEEE, (2020)Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution., , , and . ICIP, page 2891-2895. IEEE, (2019)Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information., and . IEEE Signal Process. Lett., 26 (12): 1768-1772 (2019)Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning., , , and . EUSIPCO, page 1880-1884. IEEE, (2018)Extendable Neural Matrix Completion., , and . ICASSP, page 6328-6332. IEEE, (2018)Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors., , , , , , and . IEEE Internet Things J., 7 (9): 8943-8955 (2020)Preconditioning for Underdetermined Linear Systems with Sparse Solutions., , and . IEEE Signal Process. Lett., 22 (9): 1239-1243 (2015)Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images., , , , and . MICCAI (6), volume 12906 of Lecture Notes in Computer Science, page 421-429. Springer, (2021)