Interaction graphs for planning problem decomposition. - Mark A. Iwen; Amol Dattatraya Mali (AAMAS, 2002)

Automatic Problem Decomposition for Distributed Planning. - Mark A. Iwen; Amol Dattatraya Mali (IC-AI, 2002)

Distributed Graphplan. - Mark A. Iwen; Amol Dattatraya Mali (ICTAI, 2002)

DSatz: A Directional SAT Solver for Planning. - Mark A. Iwen; Amol Dattatraya Mali (ICTAI, 2002)

Fast Line-Based Imaging of Small Sample Features. - Mark A. Iwen; Gurjit S. Mandair; Michael D. Morris; Martin Strauss 001 (ICASSP (1), 2007)

Group testing and sparse signal recovery. - Anna C. Gilbert; Mark A. Iwen; Martin J. Strauss (ACSCC, 2008)

Improved bounds for a deterministic sublinear-time Sparse Fourier Algorithm. - Mark A. Iwen; Craig V. Spencer (CISS, 2008)

Scalable Rule-Based Gene Expression Data Classification. - Mark A. Iwen; Willis Lang; Jignesh M. Patel (ICDE, 2008)

A deterministic sub-linear time sparse fourier algorithm via non-adaptive compressed sensing methods. - Mark A. Iwen (SODA, 2008)

Simple deterministically constructible RIP matrices with sublinear fourier sampling requirements. - Mark A. Iwen (CISS, 2009)

Empirical evaluation of two Deterministic Sparse Fourier Transforms. - Mark A. Iwen (CISS, 2009)

A note on compressed sensing and the complexity of matrix multiplication. - Mark A. Iwen; Craig V. Spencer (Inf. Process. Lett., 2009)

Improved Approximation Guarantees for Sublinear-Time Fourier Algorithms - Mark A. Iwen (CoRR, 2010)

Combinatorial Sublinear-Time Fourier Algorithms. - Mark A. Iwen (Found. Comput. Math., 2010)

Adaptive compressed sensing for sparse signals in noise. - Mark A. Iwen; Ahmed H. Tewfik (ACSCC, 2011)

A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements. - Guangliang Chen; Mark A. Iwen; Sang Chin 001; Mauro Maggioni (VCIP, 2012)

Approximation of Points on Low-Dimensional Manifolds Via Random Linear Projections - Mark A. Iwen; Mauro Maggioni (CoRR, 2012)

On the Design of Deterministic Matrices for Fast Recovery of Fourier Compressible Functions. - James P. Bailey; Mark A. Iwen; Craig V. Spencer (SIAM J. Matrix Anal. Appl., 2012)

Adaptive Strategies for Target Detection and Localization in Noisy Environments. - Mark A. Iwen; Ahmed H. Tewfik (IEEE Trans. Signal Process., 2012)

Fast Subspace Approximation via Greedy Least-Squares. - Mark A. Iwen; Felix Krahmer (CoRR, 2013)

Near-Optimal Encoding for Sigma-Delta Quantization of Finite Frame Expansions. - Mark A. Iwen; Rayan Saab (CoRR, 2013)

Improved sparse fourier approximation results: faster implementations and stronger guarantees. - Ben Segal; Mark A. Iwen (Numer. Algorithms, 2013)

A Symbol-Based Algorithm for Decoding Bar Codes. - Mark A. Iwen; Fadil Santosa; Rachel A. Ward (SIAM J. Imaging Sci., 2013)

Compressed sensing with sparse binary matrices: Instance optimal error guarantees in near-optimal time. - Mark A. Iwen (J. Complex., 2014)

Recent Developments in the Sparse Fourier Transform: A compressed Fourier transform for big data. - Anna C. Gilbert; Piotr Indyk; Mark A. Iwen; Ludwig Schmidt (IEEE Signal Process. Mag., 2014)

Fast compressive phase retrieval. - Aditya Viswanathan; Mark A. Iwen (ACSSC, 2015)

Locally linear low-rank tensor approximation. - Alp Ozdemir; Mark A. Iwen; Selin Aviyente (GlobalSIP, 2015)

Fast Phase Retrieval for High-Dimensions. - Mark A. Iwen; Aditya Viswanathan; Yang Wang (CoRR, 2015)

Multiscale tensor decomposition. - Alp Ozdemir; Mark A. Iwen; Selin Aviyente (ACSSC, 2016)

A multiscale approach for tensor denoising. - Alp Ozdemir; Mark A. Iwen; Selin Aviyente (SSP, 2016)

Technical Report: Improved Fourier Reconstruction using Jump Information with Applications to MRI. - Jade Larriva-Latt; Angela Morrison; Alison Radgowski; Joseph Tobin; Aditya Viswanathan; Mark A. Iwen (CoRR, 2016)

Fast Phase Retrieval from Local Correlation Measurements. - Mark A. Iwen; Aditya Viswanathan; Yang Wang (SIAM J. Imaging Sci., 2016)

A Distributed and Incremental SVD Algorithm for Agglomerative Data Analysis on Large Networks. - Mark A. Iwen; B. W. Ong (SIAM J. Matrix Anal. Appl., 2016)

Multi-scale higher order singular value decomposition (MS-HoSVD) for resting-state FMRI compression and analysis. - Alp Ozdemir; Marisel Villafane-Delgado; David C. Zhu; Mark A. Iwen; Selin Aviyente (ICASSP, 2017)

Multiscale Analysis for Higher-order Tensors. - Alp Ozdemir; Mark A. Iwen; Selin Aviyente (CoRR, 2017)

Rapidly computing sparse Legendre expansions via sparse Fourier transforms. - Xianfeng Hu; Mark A. Iwen; Hyejin Kim (Numer. Algorithms, 2017)

Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA. - Ali Zare; Alp Ozdemir; Mark A. Iwen; Selin Aviyente (Proc. IEEE, 2018)

A deterministic sparse FFT for functions with structured Fourier sparsity. - Sina Bittens; Ruochuan Zhang; Mark A. Iwen (Adv. Comput. Math., 2019)

New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds. - Mark A. Iwen; Eric Lybrand; Aaron A. Nelson; Rayan Saab (CoRR, 2019)

Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization. - Michael Perlmutter; Sami Merhi; Aditya Viswanathan; Mark A. Iwen (CoRR, 2019)

A Provably Accurate Algorithm for Recovering Compactly Supported Smooth Functions from Spectrogram Measurements. - Michael Perlmutter; Nada Sissouno; Aditya Viswanathan; Mark A. Iwen (EUSIPCO, 2020)

Sparse Fourier Transforms on Rank-1 Lattices for the Rapid and Low-Memory Approximation of Functions of Many Variables. - Craig Gross; Mark A. Iwen; Lutz Kämmerer; Toni Volkmer (CoRR, 2020)

A direct solver for the phase retrieval problem in ptychographic imaging. - Nada Sissouno; Florian Boßmann; Frank Filbir; Mark A. Iwen; Maik Kahnt; Rayan Saab; Christian Schroer; Wolfgang zu Castell (Math. Comput. Simul., 2020)

A Hybrid Scattering Transform for Signals with Isolated Singularities. - Michael Perlmutter; Jieqian He; Mark A. Iwen; Matthew J. Hirn (ACSCC, 2021)

A deterministic algorithm for constructing multiple rank-1 lattices of near-optimal size. - Craig Gross; Mark A. Iwen; Lutz Kämmerer; Toni Volkmer (Adv. Comput. Math., 2021)

On the $ ell^ infty$-norms of the Singular Vectors of Arbitrary Powers of a Difference Matrix with Applications to Sigma-Delta Quantization. - Theodore Faust; Mark A. Iwen; Rayan Saab; Rongrong Wang (CoRR, 2021)

Lower Bounds on the Low-Distortion Embedding Dimension of Submanifolds of Rn. - Mark A. Iwen; Arman Tavakoli; Benjamin Schmidt (CoRR, 2021)

Phase Retrieval for L2([-π, π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements. - Mark A. Iwen; Michael Perlmutter; Nada Sissouno; Aditya Viswanathan (CoRR, 2021)

Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery. - Mark A. Iwen; Deanna Needell; Michael Perlmutter; Elizaveta Rebrova (CoRR, 2021)

On Fast Johnson-Lindenstrauss Embeddings of Compact Submanifolds of RN with Boundary. - Mark A. Iwen; Benjamin Schmidt; Arman Tavakoli (CoRR, 2021)

Toward Fast and Provably Accurate Near-field Ptychographic Phase Retrieval. - Mark A. Iwen; Michael Perlmutter; Mark Philip Roach (CoRR, 2021)

On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. - Mark A. Iwen; Felix Krahmer; Sara Krause-Solberg; Johannes Maly (Discret. Comput. Geom., 2021)

Sparse Harmonic Transforms: A New Class of Sublinear-Time Algorithms for Learning Functions of Many Variables. - Bosu Choi; Mark A. Iwen; Felix Krahmer (Found. Comput. Math., 2021)

Sparse harmonic transforms II: best s-term approximation guarantees for bounded orthonormal product bases in sublinear-time. - Bosu Choi; Mark A. Iwen; Toni Volkmer (Numerische Mathematik, 2021)

Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. - Mark A. Iwen; Deanna Needell; Elizaveta Rebrova; Ali Zare (SIAM J. Matrix Anal. Appl., 2021)

On Outer Bi-Lipschitz Extensions of Linear Johnson-Lindenstrauss Embeddings of Low-Dimensional Submanifolds of RN. - Mark A. Iwen; Mark Philip Roach (CoRR, 2022)

Neural Network Approximation of Lipschitz Functions in High Dimensions with Applications to Inverse Problems. - Santhosh Karnik; Rongrong Wang; Mark A. Iwen (CoRR, 2022)

Tensor Sandwich: Tensor Completion for Low CP-Rank Tensors via Adaptive Random Sampling. - Cullen Haselby; Santhosh Karnik; Mark A. Iwen (CoRR, 2023)

Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements. - Cullen Haselby; Mark A. Iwen; Deanna Needell; Elizaveta Rebrova; William Swartworth (CoRR, 2023)

On Outer Bi-Lipschitz Extensions of Linear Johnson-Lindenstrauss Embeddings of Subsets of RN. - Rafael Chiclana; Mark A. Iwen; Mark Philip Roach (CoRR, 2024)

Tensor Deli: Tensor Completion for Low CP-Rank Tensors via Random Sampling. - Cullen Haselby; Mark A. Iwen; Santhosh Karnik; Rongrong Wang (CoRR, 2024)

Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent. - Santhosh Karnik; Anna Veselovska; Mark A. Iwen; Felix Krahmer (CoRR, 2024)

On Fast Johnson-Lindenstrauss Embeddings of Compact Submanifolds of $ mathbbm {R}^N$ with Boundary. - Mark A. Iwen; Benjamin Schmidt; Arman Tavakoli (Discret. Comput. Geom., 2024)

Neural network approximation of continuous functions in high dimensions with applications to inverse problems. - Santhosh Karnik; Rongrong Wang; Mark A. Iwen (J. Comput. Appl. Math., 2024)

On outer bi-Lipschitz extensions of linear Johnson-Lindenstrauss embeddings of subsets of $ mathbb {R}^N$. - Rafael Chiclana; Mark A. Iwen; Mark Philip Roach (Numerische Mathematik, 2024)

On Extended Concentration Inequalities for Fast JL Embeddings of Infinite Sets. - Edem Boahen; March Boedihardjo; Rafael Chiclana; Mark A. Iwen (CoRR, 2025)

Convergence of the alternating least squares algorithm for CP tensor decompositions. - Nicholas Hu; Mark A. Iwen; Deanna Needell; Rongrong Wang (CoRR, 2025)

Phasebook: A Survey of Selected Open Problems in Phase Retrieval. - Marc Allain; Selin Aslan; Wim Coene; Sjoerd Dirksen; Jonathan Dong; Julien Flamant; Mark A. Iwen; Felix Krahmer; Tristan van Leeuwen; Oleh Melnyk; Andreas Menzel; Allard P. Mosk; et al. (CoRR, 2025)

Sparse Spectral Methods for Solving High-Dimensional and Multiscale Elliptic PDEs. - Craig Gross; Mark A. Iwen (Found. Comput. Math., 2025)

Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, MAM*! - Edem Boahen; Simone Brugiapaglia; Hung-Hsu Chou; Mark A. Iwen; Felix Krahmer (CoRR, 2025)