Thomas Strohmer

100 papers A* 1A 1B 2C 1Misc 5Journal 80Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs.
CoRR
Shih-Hsin Wang, Yuhao Huang, Taos Transue, Justin M. Baker, Jonathan Forstater, Thomas Strohmer, Bao Wang
2025 — conf
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration.
CPAL
Xue Feng, M. Paul Laiu, Thomas Strohmer
2025 J jnl
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration.
CoRR
Xue Feng, M. Paul Laiu, Thomas Strohmer
2025 J jnl
Forgetting-MarI: LLM Unlearning via Marginal Information Regularization.
CoRR
Shizhou Xu, Yuan Ni, Stefan Broecker, Thomas Strohmer
2025 J jnl
Machine Unlearning via Information Theoretic Regularization.
CoRR
Shizhou Xu, Thomas Strohmer
2025 J jnl
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS).
CoRR
Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia S. Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutierrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang
2024 J jnl
An Algorithm for Streaming Differentially Private Data.
CoRR
Girish Kumar, Thomas Strohmer, Roman Vershynin
2024 J jnl
Auto-Calibration and Biconvex Compressive Sensing with Applications to Parallel MRI.
CoRR
Yuan Ni, Thomas Strohmer
2024 J jnl
Convergence Analysis of the Alternating Anderson-Picard Method for Nonlinear Fixed-point Problems.
CoRR
Xue Feng, M. Paul Laiu, Thomas Strohmer
2024 J jnl
Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data.
Found. Comput. Math.
March Boedihardjo, Thomas Strohmer, Roman Vershynin
2024 J jnl
Differentially Private Synthetic High-dimensional Tabular Stream.
CoRR
Girish Kumar, Thomas Strohmer, Roman Vershynin
2024 J jnl
Metric geometry of the privacy-utility tradeoff.
CoRR
March Boedihardjo, Thomas Strohmer, Roman Vershynin
2024 A conf
Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs.
AISTATS
Justin M. Baker, Qingsong Wang, Martin Berzins, Thomas Strohmer, Bao Wang
2024 J jnl
On the (In)Compatibility between Group Fairness and Individual Fairness.
CoRR
Shizhou Xu, Thomas Strohmer
2024 J jnl
WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity.
CoRR
Shizhou Xu, Thomas Strohmer
2023 J jnl
Covariance loss, Szemeredi regularity, and differential privacy.
CoRR
March Boedihardjo, Thomas Strohmer, Roman Vershynin
2023 J jnl
Differentially private low-dimensional representation of high-dimensional data.
CoRR
Yiyun He, Thomas Strohmer, Roman Vershynin, Yizhe Zhu
2023 J jnl
Fair Data Representation for Machine Learning at the Pareto Frontier.
J. Mach. Learn. Res.
Shizhou Xu, Thomas Strohmer
2023 J jnl
Privacy of Synthetic Data: A Statistical Framework.
IEEE Trans. Inf. Theory
March Boedihardjo, Thomas Strohmer, Roman Vershynin
2022 J jnl
Fair Data Representation for Machine Learning at the Pareto Frontier.
CoRR
Shizhou Xu, Thomas Strohmer
2022 A* conf
GRAND++: Graph Neural Diffusion with A Source Term.
ICLR
Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
2022 J jnl
Private Sampling: A Noiseless Approach for Generating Differentially Private Synthetic Data.
SIAM J. Math. Data Sci.
March Boedihardjo, Thomas Strohmer, Roman Vershynin
2022 J jnl
Private measures, random walks, and synthetic data.
CoRR
March Boedihardjo, Thomas Strohmer, Roman Vershynin
2022 J jnl
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold.
CoRR
Junda Sheng, Thomas Strohmer
2021 J jnl
A Performance Guarantee for Spectral Clustering.
SIAM J. Math. Data Sci.
March Boedihardjo, Shaofeng Deng, Thomas Strohmer
2021 J jnl
Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data.
CoRR
March Boedihardjo, Thomas Strohmer, Roman Vershynin
2021 J jnl
Privacy of synthetic data: a statistical framework.
CoRR
March Boedihardjo, Thomas Strohmer, Roman Vershynin
2021 J jnl
Private sampling: a noiseless approach for generating differentially private synthetic data.
CoRR
March Boedihardjo, Thomas Strohmer, Roman Vershynin
2021 J jnl
Strong Consistency, Graph Laplacians, and the Stochastic Block Model.
J. Mach. Learn. Res.
Shaofeng Deng, Shuyang Ling, Thomas Strohmer
2020 J jnl
A Performance Guarantee for Spectral Clustering.
CoRR
March Boedihardjo, Shaofeng Deng, Thomas Strohmer
2020 J jnl
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering.
Found. Comput. Math.
Shuyang Ling, Thomas Strohmer
2020 J jnl
Strong Consistency, Graph Laplacians, and the Stochastic Block Model.
CoRR
Shaofeng Deng, Shuyang Ling, Thomas Strohmer
2020 J jnl
The Numerics of Phase Retrieval.
CoRR
Albert Fannjiang, Thomas Strohmer
2020 J jnl
The numerics of phase retrieval.
Acta Numer.
Albert Fannjiang, Thomas Strohmer
2020 J jnl
When do birds of a feather flock together? k-Means, proximity, and conic programming.
Math. Program.
Xiaodong Li, Yang Li, Shuyang Ling, Thomas Strohmer, Ke Wei
2019 J jnl
What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning.
CoRR
Yang Li, Thomas Strohmer
2018 J jnl
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering.
CoRR
Shuyang Ling, Thomas Strohmer
2018 J jnl
Self-Calibration and Bilinear Inverse Problems via Linear Least Squares.
SIAM J. Imaging Sci.
Shuyang Ling, Thomas Strohmer
2017 J jnl
Blind Deconvolution Meets Blind Demixing: Algorithms and Performance Bounds.
IEEE Trans. Inf. Theory
Shuyang Ling, Thomas Strohmer
2017 J jnl
Painless Breakups - Efficient Demixing of Low Rank Matrices.
CoRR
Thomas Strohmer, Ke Wei
2017 J jnl
Regularized Gradient Descent: A Nonconvex Recipe for Fast Joint Blind Deconvolution and Demixing.
CoRR
Shuyang Ling, Thomas Strohmer
2016 J jnl
Rapid, Robust, and Reliable Blind Deconvolution via Nonconvex Optimization.
CoRR
Xiaodong Li, Shuyang Ling, Thomas Strohmer, Ke Wei
2016 J jnl
Self-Calibration via Linear Least Squares.
CoRR
Shuyang Ling, Thomas Strohmer
2016 Misc conf
Simultaneous blind deconvolution and blind demixing via convex programming.
ACSSC
Shuyang Ling, Thomas Strohmer
2015 J jnl
Blind Deconvolution Meets Blind Demixing: Algorithms and Performance Bounds.
CoRR
Shuyang Ling, Thomas Strohmer
2015 J jnl
Localization of Matrix Factorizations.
Found. Comput. Math.
Ilya A. Krishtal, Thomas Strohmer, Tim Wertz
2015 J jnl
Phase Retrieval via Matrix Completion.
SIAM Rev.
Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski
2015 J jnl
Self-Calibration and Biconvex Compressive Sensing.
CoRR
Shuyang Ling, Thomas Strohmer
2015 J jnl
Sparse Signal Processing Concepts for Efficient 5G System Design.
IEEE Access
Gerhard Wunder, Holger Boche, Thomas Strohmer, Peter Jung
2014 Misc conf
Bilinear compressed sensing for array self-calibration.
ACSSC
Benjamin Friedlander, Thomas Strohmer
2014 J jnl
Foreword to the special section on compressive sensing applied to radar.
IEEE Trans. Aerosp. Electron. Syst.
Matthias Weiss, Joachim H. G. Ender, Holger Rauhut, Gilda Schirinzi, Thomas Strohmer, Peter Willett
2014 J jnl
Remote Sensing via ℓ 1-Minimization.
Found. Comput. Math.
Max Hügel, Holger Rauhut, Thomas Strohmer
2014 J jnl
Sparse Signal Processing Concepts for Efficient 5G System Design.
CoRR
Gerhard Wunder, Holger Boche, Thomas Strohmer, Peter Jung
2013 J jnl
Accurate detection of moving targets via random sensor arrays and Kerdock codes
CoRR
Thomas Strohmer, Haichao Wang
2013 J jnl
Phase Retrieval via Matrix Completion.
SIAM J. Imaging Sci.
Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski
2012 J jnl
Analysis of Sparse MIMO Radar
CoRR
Thomas Strohmer, Benjamin Friedlander
2012 J jnl
Map-invariant spectral analysis for the identification of DNA periodicities.
EURASIP J. Bioinform. Syst. Biol.
Ahmad A. Rushdi, Jamal Tuqan, Thomas Strohmer
2012 J jnl
Measure What Should be Measured: Progress and Challenges in Compressive Sensing
CoRR
Thomas Strohmer
2012 J jnl
Remote sensing via ℓ
CoRR
Max Hügel, Holger Rauhut, Thomas Strohmer
2012 J jnl
Sparsity Enhanced Decision Feedback Equalization.
IEEE Trans. Signal Process.
Jovana Ilic, Thomas Strohmer
2011 J jnl
Eigenvalue Estimates and Mutual Information for the Linear Time-Varying Channel.
IEEE Trans. Inf. Theory
Brendan Farrell, Thomas Strohmer
2011 J jnl
Phase Retrieval via Matrix Completion
CoRR
Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski
2011 J jnl
PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming
CoRR
Emmanuel J. Candès, Thomas Strohmer, Vladislav Voroninski
2011 — conf
Some theoretical results for compressed MIMO radar.
ACSCC
Thomas Strohmer, Benjamin Friedlander
2011 J jnl
Sparsity Enhanced Decision Feedback Equalization
CoRR
Jovana Ilic, Thomas Strohmer
2011 — conf
Sparsity based adaptive thresholding for DFE in SC-FDMA.
EUSIPCO
Jovana Ilic, Thomas Strohmer
2010 J jnl
Average power reduction for MSM optical signals via sparsity and uncertainty principle.
IEEE Trans. Commun.
Jovana Ilic, Thomas Strohmer
2010 J jnl
Compressed Remote Sensing of Sparse Objects.
SIAM J. Imaging Sci.
Albert Fannjiang, Thomas Strohmer, Pengchong Yan
2010 — conf
Compressive Spectral Clustering - Error Analysis.
AAAI Fall Symposium: Manifold Learning and Its Applications
Blake Hunter, Thomas Strohmer
2010 J jnl
General Deviants: An Analysis of Perturbations in Compressed Sensing.
IEEE J. Sel. Top. Signal Process.
Matthew A. Herman, Thomas Strohmer
2010 J jnl
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
CoRR
Blake Hunter, Thomas Strohmer
2009 J jnl
General Deviants: An Analysis of Perturbations in Compressed Sensing
CoRR
Matthew A. Herman, Thomas Strohmer
2009 J jnl
High-resolution radar via compressed sensing.
IEEE Trans. Signal Process.
Matthew A. Herman, Thomas Strohmer
2008 Misc conf
Compressed sensing radar.
ICASSP
Matthew A. Herman, Thomas Strohmer
2008 J jnl
Constructing Packings in Grassmannian Manifolds via Alternating Projection.
Exp. Math.
Inderjit S. Dhillon, Robert W. Heath Jr., Thomas Strohmer, Joel A. Tropp
2008 J jnl
Eigenvalue Estimates and Mutual Information for the Linear Time-Varying Channel.
CoRR
Brendan Farrell, Thomas Strohmer
2008 J jnl
High-Resolution Radar via Compressed Sensing
CoRR
Matthew A. Herman, Thomas Strohmer
2008 J jnl
Krylov Subspace Algorithms and Circulant-Embedding Method for Efficient Wideband Single-Carrier Equalization.
IEEE Trans. Signal Process.
Raymond Guan, Thomas Strohmer
2008 J jnl
Pulse Construction in OFDM Systems Via Convex Optimization.
IEEE Trans. Commun.
Jiadong Xu, Thomas Strohmer
2007 — conf
Fast Algorithms for Blind Calibration in Time-Interleaved Analog-to-Digital Converters.
ICASSP (3)
Thomas Strohmer, Jiadong Xu
2007 — conf
Fast Reconstruction Algorithms for Periodic Nonuniform Sampling with Applications to Time-Interleaved ADCs.
ICASSP (3)
Thomas Strohmer, Jared Tanner
2006 — conf
A Randomized Solver for Linear Systems with Exponential Convergence.
APPROX-RANDOM
Thomas Strohmer, Roman Vershynin
2006 J jnl
Fast Reconstruction Methods for Bandlimited Functions from Periodic Nonuniform Sampling.
SIAM J. Numer. Anal.
Thomas Strohmer, Jared Tanner
2006 J jnl
Frames and Overcomplete Representations in Signal Processing, Communications, and Information Theory.
EURASIP J. Adv. Signal Process.
Radu V. Balan, Yonina C. Eldar, Thomas Strohmer
2006 J jnl
On quasi-orthogonal signatures for CDMA systems.
IEEE Trans. Inf. Theory
Robert W. Heath Jr., Thomas Strohmer, Arogyaswami Paulraj
2005 J jnl
Designing structured tight frames via an alternating projection method.
IEEE Trans. Inf. Theory
Joel A. Tropp, Inderjit S. Dhillon, Robert W. Heath Jr., Thomas Strohmer
2005 J jnl
The finite section method and problems in frame theory.
J. Approx. Theory
Ole W. Christensen, Thomas Strohmer
2005 J jnl
Wilson Bases for General Time-Frequency Lattices.
SIAM J. Math. Anal.
Gitta Kutyniok, Thomas Strohmer
2004 B conf
Application of time-reversal with MMSE equalizer to UWB communications.
GLOBECOM
Thomas Strohmer, Majid Emami, Jan Hansen, George Papanicolaou, Arogyaswami Paulraj
2003 — conf
Grassmannian beamforming for multiple-input multiple-output wireless systems.
ICC
David J. Love, Robert W. Heath Jr., Thomas Strohmer
2003 J jnl
Grassmannian beamforming for multiple-input multiple-output wireless systems.
IEEE Trans. Inf. Theory
David James Love, Robert W. Heath Jr., Thomas Strohmer
2003 B conf
Grassmannian signatures for CDMA systems.
GLOBECOM
Robert W. Heath Jr., Thomas Strohmer, Arogyaswami Paulraj
2003 J jnl
Optimal OFDM design for time-frequency dispersive channels.
IEEE Trans. Commun.
Thomas Strohmer, Scott Beaver
2001 — ch.
Numerical Harmonic Analysis and Image Processing.
Digital Image Analysis
Hans G. Feichtinger, Thomas Strohmer
2001 Misc conf
Optimal OFDM system design through optimal sphere coverings.
ICASSP
Thomas Strohmer, Scott Beaver
2000 J jnl
A Levinson-Galerkin Algorithm for Regularized Trigonometric Approximation.
SIAM J. Sci. Comput.
Thomas Strohmer
1999 Misc conf
On the estimation of the bandwidth of nonuniformly sampled signals.
ICASSP
Thomas Strohmer
1997 J jnl
Computationally attractive reconstruction of bandlimited images from irregular samples.
IEEE Trans. Image Process.
Thomas Strohmer
1996 — conf
How to recover smooth object boundaries in noisy medical images.
ICIP (1)
Thomas Strohmer, Thomas Binder, Michael Süssner
1993 C conf
Fast Iterative Reconstruction of Band-Limited Images from Non-Uniform Sampling Values.
CAIP
Hans Georg Feichtinger, Thomas Strohmer