Showing 1–20 of 97 results
/ Date/ Name
Jan 28, 2022Unsupervised Learning From Incomplete Measurements for Inverse ProblemsMay 21, 2019Revisiting hard thresholding for DNN pruningDec 9, 2013Compressed Quantitative MRI: Bloch Response Recovery through Iterated ProjectionOct 3, 2018CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstructionDec 30, 2017PAC-Bayesian Margin Bounds for Convolutional Neural NetworksMar 23, 2022Sensing Theorems for Unsupervised Learning in Linear Inverse ProblemsMar 14, 2024Perspective-Equivariance for Unsupervised Imaging with Camera GeometryAug 17, 2020One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive SensingJun 20, 2020A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse ProblemsJan 23, 2020Compressive MRI quantification using convex spatiotemporal priors and deep auto-encodersMay 23, 2019The role of invariance in spectral complexity-based generalization boundsMay 15, 2017Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational ResultsMar 6, 2018Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart SchemesApr 19, 2024Equivariant Imaging for Self-supervised Hyperspectral Image InpaintingSep 29, 2016Gradient Projection Iterative Sketch for Large-Scale Constrained Least-SquaresSep 5, 2022Imaging with Equivariant Deep LearningDec 9, 2013A Compressed Sensing Framework for Magnetic Resonance FingerprintingDec 8, 2017Structure-Adaptive, Variance-Reduced, and Accelerated Stochastic OptimizationMay 15, 2017Exploiting the Structure via Sketched Gradient AlgorithmsOct 11, 2024Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance