Phaseless Diffraction Tomography With Regularized Beam Propagation

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Phaseless Diffraction Tomography With Regularized Beam Propagation

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Learning of Continuous and Piecewise-Linear Functions With Hessian Total-Variation Regularization

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Glass-in-glass infiltration for 3D micro-optical composite components

Convex optimization in sums of Banach spaces

Multikernel Regression with Sparsity Constraint

3D reconstruction of weakly scattering objects from 2D intensity-only measurements using the Wolf transform

Dynamic Model Pruning with Feedback

Sparse and Parametric Modeling with Applications to Acoustics and Audio

Good Vibrations and Unknown Excitations

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Sparse Polynomial Chaos expansions using variational relevance vector machines

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

Solving Continuous-Domain Problems Exactly with Multiresolution B-Splines

Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling

Sparse Dictionaries for Continuous-Domain Inverse Problems