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2020 – today
- 2024
[j21]Mark A. Iwen, Benjamin Schmidt, Arman Tavakoli
:
On Fast Johnson-Lindenstrauss Embeddings of Compact Submanifolds of $\mathbbm {R}^N$ with Boundary. Discret. Comput. Geom. 71(2): 498-555 (2024)- [j20]Santhosh Karnik, Rongrong Wang, Mark A. Iwen:
Neural network approximation of continuous functions in high dimensions with applications to inverse problems. J. Comput. Appl. Math. 438: 115557 (2024) - [i35]Rafael Chiclana, Mark A. Iwen, Mark Philip Roach:
On Outer Bi-Lipschitz Extensions of Linear Johnson-Lindenstrauss Embeddings of Subsets of RN. CoRR abs/2403.03969 (2024) - [i34]Cullen Haselby, Mark A. Iwen, Santhosh Karnik, Rongrong Wang:
Tensor Deli: Tensor Completion for Low CP-Rank Tensors via Random Sampling. CoRR abs/2403.09932 (2024) - 2023
- [i33]Craig Gross, Mark A. Iwen:
Sparse Spectral Methods for Solving High-Dimensional and Multiscale Elliptic PDEs. CoRR abs/2302.00752 (2023) - [i32]Cullen Haselby, Santhosh Karnik, Mark A. Iwen:
Tensor Sandwich: Tensor Completion for Low CP-Rank Tensors via Adaptive Random Sampling. CoRR abs/2307.01297 (2023) - [i31]Cullen Haselby, Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, William Swartworth:
Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements. CoRR abs/2308.13709 (2023) - 2022
- [i30]Mark A. Iwen, Mark Philip Roach:
On Outer Bi-Lipschitz Extensions of Linear Johnson-Lindenstrauss Embeddings of Low-Dimensional Submanifolds of RN. CoRR abs/2206.03376 (2022) - [i29]Santhosh Karnik, Rongrong Wang, Mark A. Iwen:
Neural Network Approximation of Lipschitz Functions in High Dimensions with Applications to Inverse Problems. CoRR abs/2208.13305 (2022) - 2021
- [j19]Craig Gross, Mark A. Iwen, Lutz Kämmerer, Toni Volkmer:
A deterministic algorithm for constructing multiple rank-1 lattices of near-optimal size. Adv. Comput. Math. 47(6): 86 (2021) - [j18]Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly:
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. Discret. Comput. Geom. 65(4): 953-998 (2021) - [j17]Bosu Choi, Mark A. Iwen, Felix Krahmer:
Sparse Harmonic Transforms: A New Class of Sublinear-Time Algorithms for Learning Functions of Many Variables. Found. Comput. Math. 21(2): 275-329 (2021) - [j16]Bosu Choi, Mark A. Iwen, Toni Volkmer:
Sparse harmonic transforms II: best s-term approximation guarantees for bounded orthonormal product bases in sublinear-time. Numerische Mathematik 148(2): 293-362 (2021) - [j15]Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, Ali Zare:
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. SIAM J. Matrix Anal. Appl. 42(1): 376-416 (2021) - [c20]Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew J. Hirn:
A Hybrid Scattering Transform for Signals with Isolated Singularities. ACSCC 2021: 1322-1329 - [i28]Theodore Faust, Mark A. Iwen, Rayan Saab, Rongrong Wang:
On the $\ell^\infty$-norms of the Singular Vectors of Arbitrary Powers of a Difference Matrix with Applications to Sigma-Delta Quantization. CoRR abs/2103.13419 (2021) - [i27]Mark A. Iwen, Arman Tavakoli, Benjamin Schmidt:
Lower Bounds on the Low-Distortion Embedding Dimension of Submanifolds of Rn. CoRR abs/2105.13512 (2021) - [i26]Mark A. Iwen, Michael Perlmutter, Nada Sissouno, Aditya Viswanathan:
Phase Retrieval for L2([-π, π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements. CoRR abs/2106.02517 (2021) - [i25]Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova:
Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery. CoRR abs/2109.10454 (2021) - [i24]Mark A. Iwen, Benjamin Schmidt, Arman Tavakoli:
On Fast Johnson-Lindenstrauss Embeddings of Compact Submanifolds of RN with Boundary. CoRR abs/2110.04193 (2021) - [i23]Michael Perlmutter, Jieqian He, Mark A. Iwen, Matthew J. Hirn:
A Hybrid Scattering Transform for Signals with Isolated Singularities. CoRR abs/2110.04910 (2021) - [i22]Mark A. Iwen, Michael Perlmutter, Mark Philip Roach:
Toward Fast and Provably Accurate Near-field Ptychographic Phase Retrieval. CoRR abs/2112.10804 (2021) - 2020
- [j14]Nada Sissouno, Florian Boßmann, Frank Filbir, Mark A. Iwen, Maik Kahnt, Rayan Saab, Christian Schroer, Wolfgang zu Castell:
A direct solver for the phase retrieval problem in ptychographic imaging. Math. Comput. Simul. 176: 292-300 (2020) - [c19]Michael Perlmutter, Nada Sissouno, Aditya Viswanathan, Mark A. Iwen:
A Provably Accurate Algorithm for Recovering Compactly Supported Smooth Functions from Spectrogram Measurements. EUSIPCO 2020: 970-974 - [i21]Craig Gross, Mark A. Iwen, Lutz Kämmerer, Toni Volkmer:
A Deterministic Algorithm for Constructing Multiple Rank-1 Lattices of Near-Optimal Size. CoRR abs/2003.09753 (2020) - [i20]Craig Gross, Mark A. Iwen, Lutz Kämmerer, Toni Volkmer:
Sparse Fourier Transforms on Rank-1 Lattices for the Rapid and Low-Memory Approximation of Functions of Many Variables. CoRR abs/2012.09889 (2020)
2010 – 2019
- 2019
- [j13]Sina Bittens, Ruochuan Zhang, Mark A. Iwen:
A deterministic sparse FFT for functions with structured Fourier sparsity. Adv. Comput. Math. 45(2): 519-561 (2019) - [i19]Mark A. Iwen, Eric Lybrand, Aaron A. Nelson, Rayan Saab:
New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds. CoRR abs/1902.03726 (2019) - [i18]Michael Perlmutter, Sami Merhi, Aditya Viswanathan, Mark A. Iwen:
Inverting Spectrogram Measurements via Aliased Wigner Distribution Deconvolution and Angular Synchronization. CoRR abs/1907.10773 (2019) - [i17]Bosu Choi, Mark A. Iwen, Toni Volkmer:
Sparse Harmonic Transforms II: Best s-Term Approximation Guarantees for Bounded Orthonormal Product Bases in Sublinear-Time. CoRR abs/1909.09564 (2019) - [i16]Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, Ali Zare:
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. CoRR abs/1912.08294 (2019) - 2018
- [j12]Ali Zare, Alp Ozdemir, Mark A. Iwen, Selin Aviyente:
Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA. Proc. IEEE 106(8): 1341-1358 (2018) - [i15]Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly:
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. CoRR abs/1807.06490 (2018) - 2017
- [j11]Xianfeng Hu, Mark A. Iwen, Hyejin Kim:
Rapidly computing sparse Legendre expansions via sparse Fourier transforms. Numer. Algorithms 74(4): 1029-1059 (2017) - [c18]Alp Ozdemir, Marisel Villafane-Delgado, David C. Zhu, Mark A. Iwen, Selin Aviyente:
Multi-scale higher order singular value decomposition (MS-HoSVD) for resting-state FMRI compression and analysis. ICASSP 2017: 6299-6303 - [i14]Alp Ozdemir, Mark A. Iwen, Selin Aviyente:
Multiscale Analysis for Higher-order Tensors. CoRR abs/1704.08578 (2017) - [i13]Sina Bittens, Ruochuan Zhang, Mark A. Iwen:
A Deterministic Sparse FFT for Functions with Structured Fourier Sparsity. CoRR abs/1705.05256 (2017) - 2016
- [j10]Mark A. Iwen, Aditya Viswanathan, Yang Wang:
Fast Phase Retrieval from Local Correlation Measurements. SIAM J. Imaging Sci. 9(4): 1655-1688 (2016) - [j9]Mark A. Iwen, B. W. Ong:
A Distributed and Incremental SVD Algorithm for Agglomerative Data Analysis on Large Networks. SIAM J. Matrix Anal. Appl. 37(4): 1699-1718 (2016) - [c17]Alp Ozdemir, Mark A. Iwen, Selin Aviyente:
Multiscale tensor decomposition. ACSSC 2016: 625-629 - [c16]Alp Ozdemir, Mark A. Iwen, Selin Aviyente:
A multiscale approach for tensor denoising. SSP 2016: 1-5 - [i12]Mark A. Iwen, B. W. Ong:
A Distributed and Incremental SVD Algorithm for Agglomerative Data Analysis on Large Networks. CoRR abs/1601.07010 (2016) - [i11]Jade Larriva-Latt, Angela Morrison, Alison Radgowski, Joseph Tobin, Aditya Viswanathan, Mark A. Iwen:
Technical Report: Improved Fourier Reconstruction using Jump Information with Applications to MRI. CoRR abs/1610.03764 (2016) - 2015
- [c15]Aditya Viswanathan, Mark A. Iwen:
Fast compressive phase retrieval. ACSSC 2015: 1686-1690 - [c14]Alp Ozdemir, Mark A. Iwen, Selin Aviyente:
Locally linear low-rank tensor approximation. GlobalSIP 2015: 839-843 - [i10]Mark A. Iwen, Aditya Viswanathan, Yang Wang:
Fast Phase Retrieval for High-Dimensions. CoRR abs/1501.02377 (2015) - [i9]Xianfeng Hu, Mark A. Iwen, Hyejin Kim:
Rapidly Computing Sparse Legendre Expansions via Sparse Fourier Transforms. CoRR abs/1508.04758 (2015) - 2014
- [j8]Mark A. Iwen:
Compressed sensing with sparse binary matrices: Instance optimal error guarantees in near-optimal time. J. Complex. 30(1): 1-15 (2014) - [j7]Anna C. Gilbert, Piotr Indyk, Mark A. Iwen, Ludwig Schmidt:
Recent Developments in the Sparse Fourier Transform: A compressed Fourier transform for big data. IEEE Signal Process. Mag. 31(5): 91-100 (2014) - 2013
- [j6]Ben Segal, Mark A. Iwen:
Improved sparse fourier approximation results: faster implementations and stronger guarantees. Numer. Algorithms 63(2): 239-263 (2013) - [j5]Mark A. Iwen, Fadil Santosa, Rachel A. Ward:
A Symbol-Based Algorithm for Decoding Bar Codes. SIAM J. Imaging Sci. 6(1): 56-77 (2013) - [i8]Mark A. Iwen:
Compressed Sensing with Sparse Binary Matrices: Instance Optimal Error Guarantees in Near-Optimal Time. CoRR abs/1302.5936 (2013) - [i7]Mark A. Iwen, Rayan Saab:
Near-Optimal Encoding for Sigma-Delta Quantization of Finite Frame Expansions. CoRR abs/1307.2136 (2013) - [i6]Mark A. Iwen, Felix Krahmer:
Fast Subspace Approximation via Greedy Least-Squares. CoRR abs/1312.1413 (2013) - 2012
- [j4]James P. Bailey, Mark A. Iwen, Craig V. Spencer:
On the Design of Deterministic Matrices for Fast Recovery of Fourier Compressible Functions. SIAM J. Matrix Anal. Appl. 33(1): 263-289 (2012) - [j3]Mark A. Iwen, Ahmed H. Tewfik:
Adaptive Strategies for Target Detection and Localization in Noisy Environments. IEEE Trans. Signal Process. 60(5): 2344-2353 (2012) - [c13]Guangliang Chen, Mark A. Iwen, Sang Chin, Mauro Maggioni:
A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements. VCIP 2012: 1-6 - [i5]Mark A. Iwen, Mauro Maggioni:
Approximation of Points on Low-Dimensional Manifolds Via Random Linear Projections. CoRR abs/1204.3337 (2012) - [i4]Mark A. Iwen, Fadil Santosa, Rachel A. Ward:
A symbol-based algorithm for decoding bar codes. CoRR abs/1210.7009 (2012) - 2011
- [c12]Mark A. Iwen, Ahmed H. Tewfik:
Adaptive compressed sensing for sparse signals in noise. ACSCC 2011: 1240-1244 - [i3]James P. Bailey, Mark A. Iwen, Craig V. Spencer:
On the Design of Deterministic Matrices for Fast Recovery of Fourier Compressible Functions. CoRR abs/1105.6138 (2011) - 2010
- [j2]Mark A. Iwen:
Combinatorial Sublinear-Time Fourier Algorithms. Found. Comput. Math. 10(3): 303-338 (2010) - [i2]Mark A. Iwen:
Improved Approximation Guarantees for Sublinear-Time Fourier Algorithms. CoRR abs/1010.0014 (2010)
2000 – 2009
- 2009
- [j1]Mark A. Iwen, Craig V. Spencer:
A note on compressed sensing and the complexity of matrix multiplication. Inf. Process. Lett. 109(10): 468-471 (2009) - [c11]Mark A. Iwen:
Simple deterministically constructible RIP matrices with sublinear fourier sampling requirements. CISS 2009: 870-875 - [c10]Mark A. Iwen:
Empirical evaluation of two Deterministic Sparse Fourier Transforms. CISS 2009: 893-896 - 2008
- [c9]Anna C. Gilbert, Mark A. Iwen, Martin J. Strauss:
Group testing and sparse signal recovery. ACSCC 2008: 1059-1063 - [c8]Mark A. Iwen, Craig V. Spencer:
Improved bounds for a deterministic sublinear-time Sparse Fourier Algorithm. CISS 2008: 458-463 - [c7]Mark A. Iwen, Willis Lang, Jignesh M. Patel:
Scalable Rule-Based Gene Expression Data Classification. ICDE 2008: 1062-1071 - [c6]Mark A. Iwen:
A deterministic sub-linear time sparse fourier algorithm via non-adaptive compressed sensing methods. SODA 2008: 20-29 - 2007
- [c5]Mark A. Iwen, Gurjit S. Mandair, Michael D. Morris, Martin Strauss:
Fast Line-Based Imaging of Small Sample Features. ICASSP (1) 2007: 421-424 - [i1]Mark A. Iwen:
A Deterministic Sub-linear Time Sparse Fourier Algorithm via Non-adaptive Compressed Sensing Methods. CoRR abs/0708.1211 (2007) - 2002
- [c4]Mark A. Iwen, Amol Dattatraya Mali:
Interaction graphs for planning problem decomposition. AAMAS 2002: 984-985 - [c3]Mark A. Iwen, Amol Dattatraya Mali:
Automatic Problem Decomposition for Distributed Planning. IC-AI 2002: 411-417 - [c2]Mark A. Iwen, Amol Dattatraya Mali:
Distributed Graphplan. ICTAI 2002: 138-145 - [c1]Mark A. Iwen, Amol Dattatraya Mali:
DSatz: A Directional SAT Solver for Planning. ICTAI 2002: 199-208
Coauthor Index
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