Distributed Bayesian hypothesis testing in sensor networks. - Murat Alanyali; Venkatesh Saligrama; Onur Savas; Shuchin Aeron (ACC, 2004)

Capacity scaling in wireless ad-hoc networks with Pe. - Shuchin Aeron; Venkatesh Saligrama (ISIT, 2004)

Classification in sensor networks. - Venkatesh Saligrama; Murat Alanyali; Onur Savas; Shuchin Aeron (ISIT, 2004)

Energy Efficient Policies for Distributed Target Tracking in Multihop Sensor Networks. - Shuchin Aeron; Venkatesh Saligrama; David A. Castañón (CDC, 2006)

Distributed Target tracking and localization in multi-hop networks. - Shuchin Aeron; Venkatesh Saligrama; David Castanon (CISS, 2006)

On sensing capacity of sensor networks for the class of linear observation, fixed SNR models - Shuchin Aeron; Manqi Zhao; Venkatesh Saligrama (CoRR, 2007)

Wireless Ad Hoc Networks: Strategies and Scaling Laws for the Fixed SNR Regime. - Shuchin Aeron; Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2007)

On Throughput Maximization and Interference Avoidance in Cognitive Radios. - George K. Atia; Shuchin Aeron; Erhan Baki Ermis; Venkatesh Saligrama (CCNC, 2008)

Automatic dispersion extraction using continuous wavelet transform. - Shuchin Aeron; Sandip Bose; Henri-Pierre Valero (ICASSP, 2008)

Fundamental Limits on Sensing Capacity for Sensor Networks and Compressed Sensing - Shuchin Aeron; Manqi Zhao; Venkatesh Saligrama (CoRR, 2008)

Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks. - Shuchin Aeron; Venkatesh Saligrama; David A. Castañón (IEEE Trans. Signal Process., 2008)

Sparsity penalized reconstruction framework for broadband dispersion extraction. - Shuchin Aeron; Sandip Bose; Henri-Pierre Valero; Venkatesh Saligrama (ICASSP, 2010)

Information theoretic bounds for compressed sensing. - Shuchin Aeron; Venkatesh Saligrama; Manqi Zhao (IEEE Trans. Inf. Theory, 2010)

Broadband Dispersion Extraction Using Simultaneous Sparse Penalization. - Shuchin Aeron; Sandip Bose; Henri-Pierre Valero; Venkatesh Saligrama (IEEE Trans. Signal Process., 2011)

Robust Hydraulic Fracture Monitoring (HFM) of multiple time overlapping events using a generalized discrete radon transform. - Gregory Ely; Shuchin Aeron (IGARSS, 2012)

Robust detection of weak acoustic signals in noise using near optimal shrinkage in radon domain. - Shuchin Aeron; Sandip Bose; Henri-Pierre Valero (SSP, 2012)

Asymptotic optimality results for controlled sequential estimation. - George K. Atia; Shuchin Aeron (Allerton, 2013)

Decomposing Biochemical Networks Into Elementary Flux Modes Using Graph Traversal. - Ehsan Ullah; Calvin Hopkins; Shuchin Aeron; Soha Hassoun (BCB, 2013)

Compressed sensing of EEG using a random sampling ADC in 90nm CMOS. - Robert D'Angelo; Michael Trakimas; Sameer R. Sonkusale; Shuchin Aeron (BSN, 2013)

Methods for large scale hydraulic fracture monitoring. - Gregory Ely; Shuchin Aeron (CAMSAP, 2013)

Controlled sensing for sequential estimation. - George K. Atia; Shuchin Aeron (GlobalSIP, 2013)

Robust large-scale non-negative matrix factorization using Proximal Point algorithm. - Jason Gejie Liu; Shuchin Aeron (GlobalSIP, 2013)

Exploiting structural complexity for robust and rapid hyperspectral imaging. - Gregory Ely; Shuchin Aeron; Eric L. Miller 001 (ICASSP, 2013)

Experimental results on wideband spectrum sensing using random sampling ADC in 90nm CMOS. - Robert D'Angelo; Michael Trakimas; Shuchin Aeron; Sameer R. Sonkusale (ISCAS, 2013)

Joint multi-mode dispersion extraction in Fourier and space time domains. - Sandip Bose; Shuchin Aeron; Henri-Pierre Valero (CoRR, 2013)

Consensus in the presence of interference. - Usman A. Khan; Shuchin Aeron (CoRR, 2013)

Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data. - Zemin Zhang; Gregory Ely; Shuchin Aeron; Ning Hao; Misha Elena Kilmer (CoRR, 2013)

Complexity penalized hydraulic fracture localization and moment tensor estimation under limited model information - Gregory Ely; Shuchin Aeron (CoRR, 2013)

A Compressed Sensing Analog-to-Information Converter With Edge-Triggered SAR ADC Core. - Michael Trakimas; Robert D'Angelo; Shuchin Aeron; Timothy M. Hancock; Sameer R. Sonkusale (IEEE Trans. Circuits Syst. I Regul. Pap., 2013)

Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD. - Zemin Zhang; Gregory Ely; Shuchin Aeron; Ning Hao; Misha Elena Kilmer (CVPR, 2014)

Information alignment for consensus with interference. - Usman A. Khan; Shuchin Aeron (ICASSP, 2014)

First Order Methods for Robust non-negative matrix factorization for large scale noisy data. - Jason Gejie Liu; Shuchin Aeron (ICASSP, 2014)

Distributed averaging in the presence of interference. - Usman A. Khan; Shuchin Aeron (ISCCSP, 2014)

Clustering multi-way data: a novel algebraic approach. - Eric Kernfeld; Shuchin Aeron; Misha Elena Kilmer (CoRR, 2014)

Group-invariant Subspace Clustering. - Shuchin Aeron; Eric Kernfeld (Allerton, 2015)

Tensor completion via optimization on the product of matrix manifolds. - Josh Girson; Shuchin Aeron (CAMSAP, 2015)

Information-theoretic Bounds on Matrix Completion under Union of Subspaces Model. - Vaneet Aggarwal; Shuchin Aeron (CoRR, 2015)

Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints. - Xiao-Yang Liu; Shuchin Aeron; Vaneet Aggarwal; Xiaodong Wang 001; Min-You Wu (CoRR, 2015)

An algorithm for online tensor prediction. - John Pothier; Josh Girson; Shuchin Aeron (CoRR, 2015)

Exploiting Algebraic and Structural Complexity for Single Snapshot Computed Tomography Hyperspectral Imaging Systems. - Bo Fan; Gregory Ely; Shuchin Aeron; Eric L. Miller 001 (IEEE J. Sel. Top. Signal Process., 2015)

Robust Detection and Estimation for Logging While Drilling Monopole Acoustic Data. - Shuchin Aeron; Sandip Bose; Henri-Pierre Valero (IEEE Trans. Signal Process., 2015)

Joint Multi-Mode Dispersion Extraction in Frequency-Wavenumber and Space-Time Domains. - Shuchin Aeron; Sandip Bose; Henri-Pierre Valero (IEEE Trans. Signal Process., 2015)

A note on information-theoretic bounds on matrix completion under union of subspaces model. - Vaneet Aggarwal; Shuchin Aeron (Allerton, 2016)

On unsupervised clustering under the union of tensor subspaces. - Mohammadhossein Chaghazardi; Shuchin Aeron (Allerton, 2016)

Algorithms for item categorization based on ordinal ranking data. - Josh Girson; Shuchin Aeron (Allerton, 2016)

Inferring smartphone service quality using tensor methods. - Vaneet Aggarwal; Ajay Mahimkar; Hongyao Ma; Zemin Zhang; Shuchin Aeron; Walter Willinger (CNSM, 2016)

Sampling and recovery of MRI data using low rank tensor models. - Daniel Banco; Shuchin Aeron; W. Scott Hoge (EMBC, 2016)

Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting. - Xiao-Yang Liu; Shuchin Aeron; Vaneet Aggarwal; Xiaodong Wang 001; Min-You Wu (ICASSP, 2016)

An online tensor robust PCA algorithm for sequential 2D data. - Zemin Zhang; Dehong Liu; Shuchin Aeron; Anthony Vetro (ICASSP, 2016)

A novel tensor algebraic approach for high-dimensional outlier detection under data misalignment. - Bo Fan; Zemin Zhang; Shuchin Aeron (ICIP, 2016)

Denoising and Completion of 3D Data via Multidimensional Dictionary Learning. - Zemin Zhang; Shuchin Aeron (IJCAI, 2016)

On deterministic conditions for subspace clustering under missing data. - Wenqi Wang 001; Shuchin Aeron; Vaneet Aggarwal (ISIT, 2016)

Group invariant subspace learning for outlier detection. - Bo Fan; Shuchin Aeron (SSP, 2016)

Multilinear subspace clustering. - Eric Kernfeld; Nathan Majumder; Shuchin Aeron; Misha E. Kilmer (SSP, 2016)

Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (CoRR, 2016)

gEFM: An Algorithm for Computing Elementary Flux Modes Using Graph Traversal. - Ehsan Ullah; Shuchin Aeron; Soha Hassoun (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Distributed Subspace Consensus in the Presence of Dynamic In-Network Disturbance. - Usman A. Khan; Shuchin Aeron (IEEE Trans. Control. Netw. Syst., 2016)

Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization. - Xiao-Yang Liu; Shuchin Aeron; Vaneet Aggarwal; Xiaodong Wang 001; Min-You Wu (IEEE Trans. Mob. Comput., 2016)

Efficient Low Rank Tensor Ring Completion. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (ICCV, 2017)

Algebraic Multigrid for Least Squares Problems on Graphs with Applications to HodgeRank. - Charles Colley; Junyuan Lin; Xiaozhe Hu; Shuchin Aeron (IPDPS Workshops, 2017)

Word Embeddings via Tensor Factorization. - Eric Bailey; Shuchin Aeron (CoRR, 2017)

Sample, computation vs storage tradeoffs for classification using tensor subspace models. - Mohammadhossein Chaghazardi; Shuchin Aeron (CoRR, 2017)

Faster Clustering via Non-Backtracking Random Walks. - Brian Rappaport; Anuththari Gamage; Shuchin Aeron (CoRR, 2017)

Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (Pattern Recognit. Lett., 2017)

Guest Editorial Computational Imaging for Earth Sciences. - Shuchin Aeron; Eric L. Miller 001; Melba M. Crawford; Alison Malcom; Andreas Reigber; Jocelyn Chanussot (IEEE Trans. Computational Imaging, 2017)

On Acoustic Signal Compression for Ultrasonic Borehole Imaging. - Bo Fan; Shuchin Aeron; Adam Pedrycz; Henri-Pierre Valero (IEEE Trans. Computational Imaging, 2017)

Exact Tensor Completion Using t-SVD. - Zemin Zhang; Shuchin Aeron (IEEE Trans. Signal Process., 2017)

Multi-View Graph Embedding Using Randomized Shortest Paths. - Anuththari Gamage; Brian Rappaport; Shuchin Aeron; Xiaozhe Hu (CoRR, 2018)

A randomized tensor singular value decomposition based on the t-product. - Jiani Zhang 002; Arvind K. Saibaba; Misha E. Kilmer; Shuchin Aeron (Numer. Linear Algebra Appl., 2018)

Tensor Train Neighborhood Preserving Embedding. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (IEEE Trans. Signal Process., 2018)

Common Randomized Shortest Paths (C-RSP): A Simple Yet Effective Framework for Multi-view Graph Embedding. - Anuththari Gamage; Brian Rappaport; Shuchin Aeron; Xiaozhe Hu (ICASSP, 2019)

On the modes of convergence of Stochastic Optimistic Mirror Descent (OMD) for saddle point problems. - Yanting Ma; Shuchin Aeron; Hassan Mansour (CoRR, 2019)

Unlabeled sensing with local permutations. - Ahmed Ali Abbasi; Abiy Tasissa; Shuchin Aeron (CoRR, 2019)

Principal component analysis with tensor train subspace. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (Pattern Recognit. Lett., 2019)

Editorial to The Special Issue on Tensor Image Processing. - Yipeng Liu; Yuning Yang; Qibin Zhao; Shuchin Aeron (Signal Process. Image Commun., 2019)

Optimal Transport Based Change Point Detection and Time Series Segment Clustering. - Kevin C. Cheng; Shuchin Aeron; Michael C. Hughes; Erika Hussey; Eric L. Miller 001 (ICASSP, 2020)

Representation Learning via Adversarially-Contrastive Optimal Transport. - Anoop Cherian; Shuchin Aeron (ICML, 2020)

Optimization-based incentivization and control scheme for autonomous traffic. - Uros Kalabic; Piyush Grover; Shuchin Aeron (IV, 2020)

Domain Adaptation for Robust Workload Classification using fNIRS. - Boyang Lyu; Thao Pham; Giles Blaney; Zachary Haga; Sergio Fantini; Shuchin Aeron (CoRR, 2020)

Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space. - Ruijie Jiang; Julia Gouvea; David Hammer; Shuchin Aeron (CoRR, 2020)

On Quantized Analog Compressive Sensing Methods for Efficient Resonator Frequency Estimation. - Laxmeesha Somappa; Shuchin Aeron; Adarsh G. Menon; Sameer Sonkusale; Ashwin A. Seshia; Maryam Shojaei Baghini (IEEE Trans. Circuits Syst., 2020)

Low-Tubal-Rank Tensor Completion Using Alternating Minimization. - Xiao-Yang Liu; Shuchin Aeron; Vaneet Aggarwal; Xiaodong Wang 001 (IEEE Trans. Inf. Theory, 2020)

Multiview Sensing with Unknown Permutations: an Optimal Transport Approach. - Yanting Ma; Petros T. Boufounos; Hassan Mansour; Shuchin Aeron (ICASSP, 2021)

Robust Machine Learning via Privacy/ Rate-Distortion Theory. - Ye Wang 001; Shuchin Aeron; Adnan Siraj Rakin; Toshiaki Koike-Akino; Pierre Moulin (ISIT, 2021)

Towards Universal Adversarial Examples and Defenses. - Adnan Siraj Rakin; Ye Wang 001; Shuchin Aeron; Toshiaki Koike-Akino; Pierre Moulin; Kieran Parsons (ITW, 2021)

Dynamical Wasserstein Barycenters for Time-series Modeling. - Kevin C. Cheng; Shuchin Aeron; Michael C. Hughes; Eric L. Miller 001 (NeurIPS, 2021)

Soft and subspace robust multivariate rank tests based on entropy regularized optimal transport. - Shoaib Bin Masud; Boyang Lyu; Shuchin Aeron (CoRR, 2021)

Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization. - Boyang Lyu; Thuan Nguyen 001; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (CoRR, 2021)

r-local sensing: Improved algorithm and applications. - Ahmed Ali Abbasi; Abiy Tasissa; Shuchin Aeron (CoRR, 2021)

Learning generative models for valid knockoffs using novel multivariate-rank based statistics. - Shoaib Bin Masud; Shuchin Aeron (CoRR, 2021)

Robust and efficient change point detection using novel multivariate rank-energy GoF test. - Shoaib Bin Masud; Shuchin Aeron (CoRR, 2021)

Interpretable contrastive word mover's embedding. - Ruijie Jiang; Julia Gouvea; Eric L. Miller 001; David Hammer; Shuchin Aeron (CoRR, 2021)

r-Local Unlabeled Sensing: Improved Algorithm and Applications. - Ahmed Ali Abbasi; Abiy Tasissa; Shuchin Aeron (ICASSP, 2022)

Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task. - Ayca Aygun; Boyang Lyu; Thuan Nguyen 001; Zachary Haga; Shuchin Aeron; Matthias Scheutz (ICMI, 2022)

Measure Estimation in the Barycentric Coding Model. - Matthew Werenski; Ruijie Jiang; Abiy Tasissa; Shuchin Aeron; James M. Murphy (ICML, 2022)

Easy Variational Inference for Categorical Models via an Independent Binary Approximation. - Michael T. Wojnowicz; Shuchin Aeron; Eric L. Miller 001; Michael C. Hughes (ICML, 2022)

Trade-off between reconstruction loss and feature alignment for domain generalization. - Thuan Nguyen 001; Boyang Lyu; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (ICMLA, 2022)

Conditional entropy minimization principle for learning domain invariant representation features. - Thuan Nguyen 001; Boyang Lyu; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (ICPR, 2022)

Joint Covariate-Alignment and Concept-Alignment: A Framework for Domain Generalization. - Thuan Nguyen 001; Boyang Lyu; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (MLSP, 2022)

Non-Parametric and Regularized Dynamical Wasserstein Barycenters for Time-Series Analysis. - Kevin C. Cheng; Shuchin Aeron; Michael C. Hughes; Eric L. Miller 001 (CoRR, 2022)

Geometric Sparse Coding in Wasserstein Space. - Marshall Mueller; Shuchin Aeron; James M. Murphy; Abiy Tasissa (CoRR, 2022)

Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing. - Ahmed Ali Abbasi; Abiy Tasissa; Shuchin Aeron (CoRR, 2022)

Investigating Methods for Cognitive Workload Estimation for Assistive Robots. - Ayca Aygun; Thuan Nguyen 001; Zachary Haga; Shuchin Aeron; Matthias Scheutz (Sensors, 2022)

A Principled Approach to Model Validation in Domain Generalization. - Boyang Lyu; Thuan Nguyen 001; Matthias Scheutz; Prakash Ishwar; Shuchin Aeron (ICASSP, 2023)

A Compressed Sensing-based Resolution Reconfigurable Multi-Channel Sensor Node. - Laxmeesha Somappa; Shahid Malik; Shuchin Aeron; Sameer Sonkusale; Maryam Shojaei Baghini (SENSORS, 2023)

Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning. - Ruijie Jiang; Prakash Ishwar; Shuchin Aeron (IJCNN, 2023)

On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control. - Thuan Nguyen 001; Matthias Scheutz; Shuchin Aeron (MLSP, 2023)

Geometrically Regularized Wasserstein Dictionary Learning. - Marshall Mueller; Shuchin Aeron; James M. Murphy; Abiy Tasissa (TAG-ML, 2023)

Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization. - Boyang Lyu; Thuan Nguyen 001; Prakash Ishwar; Matthias Scheutz; Shuchin Aeron (IEEE Access, 2023)

Accuracy versus time frontiers of semi-supervised and self-supervised learning on medical images. - Zhe Huang; Ruijie Jiang; Shuchin Aeron; Michael C. Hughes (CoRR, 2023)

On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling. - Ruijie Jiang; Thuan Nguyen 001; Shuchin Aeron; Prakash Ishwar (CoRR, 2023)

Estimation of entropy-regularized optimal transport maps between non-compactly supported measures. - Matthew Werenski; James M. Murphy; Shuchin Aeron (CoRR, 2023)

Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling. - Shoaib Bin Masud; Matthew Werenski; James M. Murphy; Shuchin Aeron (J. Mach. Learn. Res., 2023)

Improving adversarial robustness by learning shared information. - Xi Yu; Niklas Smedemark-Margulies; Shuchin Aeron; Toshiaki Koike-Akino; Pierre Moulin; Matthew Brand; Kieran Parsons; Ye Wang 001 (Pattern Recognit., 2023)

Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations. - Kevin C. Cheng; Eric L. Miller 001; Michael C. Hughes; Shuchin Aeron (IEEE Trans. Signal Process., 2023)

Systematic comparison of semi-supervised and self-supervised learning for medical image classification. - Zhe Huang; Ruijie Jiang; Shuchin Aeron; Michael C. Hughes (CVPR, 2024)

Supervised Contrastive Learning with Hard Negative Samples. - Ruijie Jiang; Thuan Nguyen 001; Prakash Ishwar; Shuchin Aeron (IJCNN, 2024)

Distributionally Robust Domain Adaptation via Optimal Transport. - Akram S. Awad; Shuchin Aeron; George K. Atia (MLSP, 2024)

On Neural Collapse in Contrastive Learning with Imbalanced Datasets. - Thuan Nguyen 001; Ruijie Jiang; Shuchin Aeron; Prakash Ishwar; D. Richard Brown (MLSP, 2024)

On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection. - Matthew Werenski; Shoaib Bin Masud; James M. Murphy; Shuchin Aeron (IEEE Trans. Inf. Theory, 2024)

Estimating Systemic Cognitive States from a Mixture of Physiological and Brain Signals. - Matthias Scheutz; Shuchin Aeron; Ayca Aygun; J. P. de Ruiter; Sergio Fantini; Cristianne Fernandez; Zachary Haga; Thuan Nguyen 001; Boyang Lyu (Top. Cogn. Sci., 2024)

Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport. - Brendan Mallery; James M. Murphy; Shuchin Aeron (AISTATS, 2025)

Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications. - Matthew Werenski; Brendan Mallery; Shuchin Aeron; James M. Murphy (AISTATS, 2025)

Alternating minimization algorithm for unlabeled sensing and linked linear regression. - Ahmed Ali Abbasi; Shuchin Aeron; Abiy Tasissa (Signal Process., 2025)

Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse. - Ruijie Jiang; Thuan Nguyen 001; Shuchin Aeron; Prakash Ishwar (Trans. Mach. Learn. Res., 2025)

Efficient Constraint-Aware Flow Matching via Randomized Exploration. - Zhengyan Huan; Jacob Boerma; Li-Ping Liu; Shuchin Aeron (CoRR, 2025)