Showing 1–20 of 43 results
/ Date/ Name
Dec 14, 2018A mixed $\ell_1$ regularization approach for sparse simultaneous approximation of parameterized PDEsMay 24, 2019Robust learning with implicit residual networksOct 19, 2017A class of null space conditions for sparse recovery via nonconvex, non-separable minimizationsOct 7, 2019Neural network integral representations with the ReLU activation functionMay 15, 2019The Natural Greedy Algorithm for reduced bases in Banach spacesOct 6, 2018Analysis of sparse recovery for Legendre expansions using envelope boundNov 21, 2018Reconstruction of jointly sparse vectors via manifold optimizationNov 7, 2017On the strong convergence of forward-backward splitting in reconstructing jointly sparse signalsDec 4, 2019Analysis of Deep Neural Networks with Quasi-optimal polynomial approximation ratesMay 14, 2019Reconstructing high-dimensional Hilbert-valued functions via compressed sensingMay 24, 2019Analytic Continuation of Noisy Data Using Adams Bashforth ResNetMay 24, 2019Greedy Shallow Networks: An Approach for Constructing and Training Neural NetworksOct 3, 2017An improved discrete least-squares/reduced-basis method for parameterized elliptic PDEsSep 20, 2018Non-intrusive inference reduced order model for fluids using linear multistep neural networkApr 13, 2020Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed SensingMay 24, 2019A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural NetworksSep 20, 2019A nonlocal feature-driven exemplar-based approach for image inpaintingAug 6, 2015A sparse grid method for Bayesian uncertainty quantification with application to large eddy simulation turbulence modelsNov 21, 2022Examining Policy Entropy of Reinforcement Learning Agents for Personalization TasksSep 16, 2019A Weighted $\ell_1$-Minimization Approach For Wavelet Reconstruction of Signals and Images