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Shuchin Aeron
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2020 – today
- 2024
- [j28]Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron:
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection. IEEE Trans. Inf. Theory 70(7): 5168-5190 (2024) - [j27]Matthias Scheutz, Shuchin Aeron, Ayca Aygun, J. P. de Ruiter, Sergio Fantini, Cristianne Fernandez, Zachary Haga, Thuan Nguyen, Boyang Lyu:
Estimating Systemic Cognitive States from a Mixture of Physiological and Brain Signals. Top. Cogn. Sci. 16(3): 485-526 (2024) - [c60]Zhe Huang, Ruijie Jiang, Shuchin Aeron, Michael C. Hughes:
Systematic comparison of semi-supervised and self-supervised learning for medical image classification. CVPR 2024: 22282-22293 - [c59]Ruijie Jiang, Thuan Nguyen, Prakash Ishwar, Shuchin Aeron:
Supervised Contrastive Learning with Hard Negative Samples. IJCNN 2024: 1-8 - 2023
- [j26]Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization. IEEE Access 11: 49226-49240 (2023) - [j25]Shoaib Bin Masud, Matthew Werenski, James M. Murphy, Shuchin Aeron:
Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling. J. Mach. Learn. Res. 24: 160:1-160:65 (2023) - [j24]Xi Yu, Niklas Smedemark-Margulies, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Matthew Brand, Kieran Parsons, Ye Wang:
Improving adversarial robustness by learning shared information. Pattern Recognit. 134: 109054 (2023) - [j23]Kevin C. Cheng, Eric L. Miller, Michael C. Hughes, Shuchin Aeron:
Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations. IEEE Trans. Signal Process. 71: 3164-3178 (2023) - [c58]Boyang Lyu, Thuan Nguyen, Matthias Scheutz, Prakash Ishwar, Shuchin Aeron:
A Principled Approach to Model Validation in Domain Generalization. ICASSP 2023: 1-5 - [c57]Laxmeesha Somappa, Shahid Malik, Shuchin Aeron, Sameer Sonkusale, Maryam Shojaei Baghini:
A Compressed Sensing-based Resolution Reconfigurable Multi-Channel Sensor Node. SENSORS 2023: 1-4 - [c56]Ruijie Jiang, Prakash Ishwar, Shuchin Aeron:
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning. IJCNN 2023: 1-8 - [c55]Thuan Nguyen, Matthias Scheutz, Shuchin Aeron:
On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control. MLSP 2023: 1-6 - [c54]Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa:
Geometrically Regularized Wasserstein Dictionary Learning. TAG-ML 2023: 384-403 - [i63]Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron:
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection. CoRR abs/2302.07964 (2023) - [i62]Boyang Lyu, Thuan Nguyen, Matthias Scheutz, Prakash Ishwar, Shuchin Aeron:
A principled approach to model validation in domain generalization. CoRR abs/2304.00629 (2023) - [i61]Zhe Huang, Ruijie Jiang, Shuchin Aeron, Michael C. Hughes:
Accuracy versus time frontiers of semi-supervised and self-supervised learning on medical images. CoRR abs/2307.08919 (2023) - [i60]Ruijie Jiang, Thuan Nguyen, Shuchin Aeron, Prakash Ishwar:
On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling. CoRR abs/2311.05139 (2023) - [i59]Matthew Werenski, James M. Murphy, Shuchin Aeron:
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures. CoRR abs/2311.11934 (2023) - 2022
- [j22]Ayca Aygun, Thuan Nguyen, Zachary Haga, Shuchin Aeron, Matthias Scheutz:
Investigating Methods for Cognitive Workload Estimation for Assistive Robots. Sensors 22(18): 6834 (2022) - [c53]Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron:
r-Local Unlabeled Sensing: Improved Algorithm and Applications. ICASSP 2022: 5593-5597 - [c52]Ayca Aygun, Boyang Lyu, Thuan Nguyen, Zachary Haga, Shuchin Aeron, Matthias Scheutz:
Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task. ICMI 2022: 337-348 - [c51]Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy:
Measure Estimation in the Barycentric Coding Model. ICML 2022: 23781-23803 - [c50]Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller, Michael C. Hughes:
Easy Variational Inference for Categorical Models via an Independent Binary Approximation. ICML 2022: 23857-23896 - [c49]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Trade-off between reconstruction loss and feature alignment for domain generalization. ICMLA 2022: 794-801 - [c48]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Conditional entropy minimization principle for learning domain invariant representation features. ICPR 2022: 3000-3006 - [c47]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Joint Covariate-Alignment and Concept-Alignment: A Framework for Domain Generalization. MLSP 2022: 1-6 - [i58]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Conditional entropy minimization principle for learning domain invariant representation features. CoRR abs/2201.10460 (2022) - [i57]Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy:
Measure Estimation in the Barycentric Coding Model. CoRR abs/2201.12195 (2022) - [i56]Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller, Michael C. Hughes:
Easy Variational Inference for Categorical Models via an Independent Binary Approximation. CoRR abs/2206.00093 (2022) - [i55]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Joint covariate-alignment and concept-alignment: a framework for domain generalization. CoRR abs/2208.00898 (2022) - [i54]Ruijie Jiang, Thuan Nguyen, Prakash Ishwar, Shuchin Aeron:
Supervised Contrastive Learning with Hard Negative Samples. CoRR abs/2209.00078 (2022) - [i53]Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller:
Non-Parametric and Regularized Dynamical Wasserstein Barycenters for Time-Series Analysis. CoRR abs/2210.01918 (2022) - [i52]Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa:
Geometric Sparse Coding in Wasserstein Space. CoRR abs/2210.12135 (2022) - [i51]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Trade-off between reconstruction loss and feature alignment for domain generalization. CoRR abs/2210.15000 (2022) - [i50]Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron:
Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing. CoRR abs/2211.07621 (2022) - 2021
- [c46]Yanting Ma, Petros T. Boufounos, Hassan Mansour, Shuchin Aeron:
Multiview Sensing with Unknown Permutations: an Optimal Transport Approach. ICASSP 2021: 1440-1444 - [c45]Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin:
Robust Machine Learning via Privacy/ Rate-Distortion Theory. ISIT 2021: 1320-1325 - [c44]Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons:
Towards Universal Adversarial Examples and Defenses. ITW 2021: 1-6 - [c43]Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller:
Dynamical Wasserstein Barycenters for Time-series Modeling. NeurIPS 2021: 27991-28003 - [i49]Yanting Ma, Petros T. Boufounos, Hassan Mansour, Shuchin Aeron:
Multiview Sensing With Unknown Permutations: An Optimal Transport Approach. CoRR abs/2103.07458 (2021) - [i48]Shoaib Bin Masud, Boyang Lyu, Shuchin Aeron:
Soft and subspace robust multivariate rank tests based on entropy regularized optimal transport. CoRR abs/2103.08811 (2021) - [i47]Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization. CoRR abs/2109.01902 (2021) - [i46]Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller:
Dynamical Wasserstein Barycenters for Time-series Modeling. CoRR abs/2110.06741 (2021) - [i45]Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron:
r-local sensing: Improved algorithm and applications. CoRR abs/2110.14034 (2021) - [i44]Shoaib Bin Masud, Shuchin Aeron:
Learning generative models for valid knockoffs using novel multivariate-rank based statistics. CoRR abs/2111.00043 (2021) - [i43]Shoaib Bin Masud, Shuchin Aeron:
Robust and efficient change point detection using novel multivariate rank-energy GoF test. CoRR abs/2111.00047 (2021) - [i42]Ruijie Jiang, Julia Gouvea, Eric L. Miller, David Hammer, Shuchin Aeron:
Interpretable contrastive word mover's embedding. CoRR abs/2111.01023 (2021) - [i41]Ruijie Jiang, Prakash Ishwar, Shuchin Aeron:
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning. CoRR abs/2111.03169 (2021) - 2020
- [j21]Laxmeesha Somappa, Shuchin Aeron, Adarsh G. Menon, Sameer Sonkusale, Ashwin A. Seshia, Maryam Shojaei Baghini:
On Quantized Analog Compressive Sensing Methods for Efficient Resonator Frequency Estimation. IEEE Trans. Circuits Syst. 67-I(12): 4556-4565 (2020) - [j20]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang:
Low-Tubal-Rank Tensor Completion Using Alternating Minimization. IEEE Trans. Inf. Theory 66(3): 1714-1737 (2020) - [c42]Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Erika Hussey, Eric L. Miller:
Optimal Transport Based Change Point Detection and Time Series Segment Clustering. ICASSP 2020: 6034-6038 - [c41]Anoop Cherian, Shuchin Aeron:
Representation Learning via Adversarially-Contrastive Optimal Transport. ICML 2020: 1820-1830 - [c40]Uros Kalabic, Piyush Grover, Shuchin Aeron:
Optimization-based incentivization and control scheme for autonomous traffic. IV 2020: 1444-1449 - [i40]Anoop Cherian, Shuchin Aeron:
Representation Learning via Adversarially-Contrastive Optimal Transport. CoRR abs/2007.05840 (2020) - [i39]Boyang Lyu, Thao Pham, Giles Blaney, Zachary Haga, Sergio Fantini, Shuchin Aeron:
Domain Adaptation for Robust Workload Classification using fNIRS. CoRR abs/2007.06706 (2020) - [i38]Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin:
Robust Machine Learning via Privacy/Rate-Distortion Theory. CoRR abs/2007.11693 (2020) - [i37]Ruijie Jiang, Julia Gouvea, David Hammer, Shuchin Aeron:
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space. CoRR abs/2011.13384 (2020)
2010 – 2019
- 2019
- [j19]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Principal component analysis with tensor train subspace. Pattern Recognit. Lett. 122: 86-91 (2019) - [j18]Yipeng Liu, Yuning Yang, Qibin Zhao, Shuchin Aeron:
Editorial to The Special Issue on Tensor Image Processing. Signal Process. Image Commun. 73: 1-2 (2019) - [c39]Anuththari Gamage, Brian Rappaport, Shuchin Aeron, Xiaozhe Hu:
Common Randomized Shortest Paths (C-RSP): A Simple Yet Effective Framework for Multi-view Graph Embedding. ICASSP 2019: 3542-3546 - [i36]Yanting Ma, Shuchin Aeron, Hassan Mansour:
On the modes of convergence of Stochastic Optimistic Mirror Descent (OMD) for saddle point problems. CoRR abs/1908.01071 (2019) - [i35]Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Erika Hussey, Eric L. Miller:
Optimal Transport Based Change Point Detection and Time Series Segment Clustering. CoRR abs/1911.01325 (2019) - [i34]Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron:
Unlabeled sensing with local permutations. CoRR abs/1911.06382 (2019) - 2018
- [j17]Jiani Zhang, Arvind K. Saibaba, Misha E. Kilmer, Shuchin Aeron:
A randomized tensor singular value decomposition based on the t-product. Numer. Linear Algebra Appl. 25(5) (2018) - [j16]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Tensor Train Neighborhood Preserving Embedding. IEEE Trans. Signal Process. 66(10): 2724-2732 (2018) - [i33]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Principal Component Analysis with Tensor Train Subspace. CoRR abs/1803.05026 (2018) - [i32]Anuththari Gamage, Brian Rappaport, Shuchin Aeron, Xiaozhe Hu:
Multi-View Graph Embedding Using Randomized Shortest Paths. CoRR abs/1808.06560 (2018) - 2017
- [j15]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model. Pattern Recognit. Lett. 100: 104-109 (2017) - [j14]Shuchin Aeron, Eric L. Miller, Melba M. Crawford, Alison Malcom, Andreas Reigber, Jocelyn Chanussot:
Guest Editorial Computational Imaging for Earth Sciences. IEEE Trans. Computational Imaging 3(2): 144-145 (2017) - [j13]Bo Fan, Shuchin Aeron, Adam Pedrycz, Henri-Pierre Valero:
On Acoustic Signal Compression for Ultrasonic Borehole Imaging. IEEE Trans. Computational Imaging 3(2): 330-343 (2017) - [j12]Zemin Zhang, Shuchin Aeron:
Exact Tensor Completion Using t-SVD. IEEE Trans. Signal Process. 65(6): 1511-1526 (2017) - [c38]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Efficient Low Rank Tensor Ring Completion. ICCV 2017: 5698-5706 - [c37]Charles Colley, Junyuan Lin, Xiaozhe Hu, Shuchin Aeron:
Algebraic Multigrid for Least Squares Problems on Graphs with Applications to HodgeRank. IPDPS Workshops 2017: 627-636 - [i31]Eric Bailey, Shuchin Aeron:
Word Embeddings via Tensor Factorization. CoRR abs/1704.02686 (2017) - [i30]Mohammadhossein Chaghazardi, Shuchin Aeron:
Sample, computation vs storage tradeoffs for classification using tensor subspace models. CoRR abs/1706.05599 (2017) - [i29]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Efficient Low Rank Tensor Ring Completion. CoRR abs/1707.08184 (2017) - [i28]Brian Rappaport, Anuththari Gamage, Shuchin Aeron:
Faster Clustering via Non-Backtracking Random Walks. CoRR abs/1708.07967 (2017) - [i27]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Tensor Train Neighborhood Preserving Embedding. CoRR abs/1712.00828 (2017) - 2016
- [j11]Ehsan Ullah, Shuchin Aeron, Soha Hassoun:
gEFM: An Algorithm for Computing Elementary Flux Modes Using Graph Traversal. IEEE ACM Trans. Comput. Biol. Bioinform. 13(1): 122-134 (2016) - [j10]Usman A. Khan, Shuchin Aeron:
Distributed Subspace Consensus in the Presence of Dynamic In-Network Disturbance. IEEE Trans. Control. Netw. Syst. 3(3): 220-230 (2016) - [j9]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu:
Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization. IEEE Trans. Mob. Comput. 15(10): 2411-2423 (2016) - [c36]Vaneet Aggarwal, Shuchin Aeron:
A note on information-theoretic bounds on matrix completion under union of subspaces model. Allerton 2016: 281-283 - [c35]Mohammadhossein Chaghazardi, Shuchin Aeron:
On unsupervised clustering under the union of tensor subspaces. Allerton 2016: 336-340 - [c34]Josh Girson, Shuchin Aeron:
Algorithms for item categorization based on ordinal ranking data. Allerton 2016: 409-416 - [c33]Vaneet Aggarwal, Ajay Mahimkar, Hongyao Ma, Zemin Zhang, Shuchin Aeron, Walter Willinger:
Inferring smartphone service quality using tensor methods. CNSM 2016: 263-267 - [c32]Daniel Banco, Shuchin Aeron, W. Scott Hoge:
Sampling and recovery of MRI data using low rank tensor models. EMBC 2016: 448-452 - [c31]Zemin Zhang, Dehong Liu, Shuchin Aeron, Anthony Vetro:
An online tensor robust PCA algorithm for sequential 2D data. ICASSP 2016: 2434-2438 - [c30]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu:
Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting. ICASSP 2016: 2529-2533 - [c29]Bo Fan, Zemin Zhang, Shuchin Aeron:
A novel tensor algebraic approach for high-dimensional outlier detection under data misalignment. ICIP 2016: 3628-3632 - [c28]Zemin Zhang, Shuchin Aeron:
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning. IJCAI 2016: 2371-2377 - [c27]Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal:
On deterministic conditions for subspace clustering under missing data. ISIT 2016: 850-854 - [c26]Bo Fan, Shuchin Aeron:
Group invariant subspace learning for outlier detection. SSP 2016: 1-5 - [c25]Eric Kernfeld, Nathan Majumder, Shuchin Aeron, Misha E. Kilmer:
Multilinear subspace clustering. SSP 2016: 1-5 - [i26]Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal:
On deterministic conditions for subspace clustering under missing data. CoRR abs/1604.04615 (2016) - [i25]Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal:
On Deterministic Conditions for Subspace Clustering under Missing Data. CoRR abs/1607.03191 (2016) - [i24]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model. CoRR abs/1609.05587 (2016) - [i23]Jiani Zhang, Arvind K. Saibaba, Misha Elena Kilmer, Shuchin Aeron:
A Randomized Tensor Singular Value Decomposition based on the t-product. CoRR abs/1609.07086 (2016) - [i22]Josh Girson, Shuchin Aeron:
Algorithms for item categorization based on ordinal ranking data. CoRR abs/1609.09544 (2016) - [i21]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang:
Low-tubal-rank Tensor Completion using Alternating Minimization. CoRR abs/1610.01690 (2016) - 2015
- [j8]Bo Fan, Gregory Ely, Shuchin Aeron, Eric L. Miller:
Exploiting Algebraic and Structural Complexity for Single Snapshot Computed Tomography Hyperspectral Imaging Systems. IEEE J. Sel. Top. Signal Process. 9(6): 990-1002 (2015) - [j7]Shuchin Aeron, Sandip Bose, Henri-Pierre Valero:
Robust Detection and Estimation for Logging While Drilling Monopole Acoustic Data. IEEE Trans. Signal Process. 63(12): 3062-3075 (2015) - [j6]Shuchin Aeron, Sandip Bose, Henri-Pierre Valero:
Joint Multi-Mode Dispersion Extraction in Frequency-Wavenumber and Space-Time Domains. IEEE Trans. Signal Process. 63(15): 4115-4128 (2015) - [c24]Shuchin Aeron, Eric Kernfeld:
Group-invariant Subspace Clustering. Allerton 2015: 666-671 - [c23]Josh Girson, Shuchin Aeron:
Tensor completion via optimization on the product of matrix manifolds. CAMSAP 2015: 177-180 - [i20]Zemin Zhang, Shuchin Aeron:
Exact tensor completion using t-SVD. CoRR abs/1502.04689 (2015) - [i19]John Pothier, Josh Girson, Shuchin Aeron:
An algorithm for online tensor prediction. CoRR abs/1507.07974 (2015) - [i18]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu:
Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints. CoRR abs/1508.02324 (2015) - [i17]Vaneet Aggarwal, Shuchin Aeron:
Information-theoretic Bounds on Matrix Completion under Union of Subspaces Model. CoRR abs/1508.03395 (2015) - [i16]Shuchin Aeron, Eric Kernfeld:
Group-Invariant Subspace Clustering. CoRR abs/1510.04356 (2015) - [i15]Eric Kernfeld, Nathan Majumder, Shuchin Aeron, Misha Elena Kilmer:
Multilinear Subspace Clustering. CoRR abs/1512.06730 (2015) - [i14]Zemin Zhang, Shuchin Aeron:
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning. CoRR abs/1512.09227 (2015) - 2014
- [c22]Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, Misha Elena Kilmer:
Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD. CVPR 2014: 3842-3849 - [c21]Jason Gejie Liu, Shuchin Aeron:
First Order Methods for Robust non-negative matrix factorization for large scale noisy data. ICASSP 2014: 6746-6750 - [c20]Usman A. Khan, Shuchin Aeron:
Information alignment for consensus with interference. ICASSP 2014: 7168-7172 - [c19]Usman A. Khan, Shuchin Aeron:
Distributed averaging in the presence of interference. ISCCSP 2014: 32-35 - [i13]Jason Gejie Liu, Shuchin Aeron:
Robust Large Scale Non-negative Matrix Factorization using Proximal Point Algorithm. CoRR abs/1401.1842 (2014) - [i12]Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, Misha Elena Kilmer:
Novel methods for multilinear data completion and de-noising based on tensor-SVD. CoRR abs/1407.1785 (2014) - [i11]Eric Kernfeld, Shuchin Aeron, Misha Elena Kilmer:
Clustering multi-way data: a novel algebraic approach. CoRR abs/1412.7056 (2014) - 2013
- [j5]Michael Trakimas, Robert D'Angelo, Shuchin Aeron, Timothy M. Hancock, Sameer R. Sonkusale:
A Compressed Sensing Analog-to-Information Converter With Edge-Triggered SAR ADC Core. IEEE Trans. Circuits Syst. I Regul. Pap. 60-I(5): 1135-1148 (2013) - [c18]George K. Atia, Shuchin Aeron:
Asymptotic optimality results for controlled sequential estimation. Allerton 2013: 1098-1105 - [c17]Ehsan Ullah, Calvin Hopkins, Shuchin Aeron, Soha Hassoun:
Decomposing Biochemical Networks Into Elementary Flux Modes Using Graph Traversal. BCB 2013: 211 - [c16]Robert D'Angelo, Michael Trakimas, Sameer R. Sonkusale, Shuchin Aeron:
Compressed sensing of EEG using a random sampling ADC in 90nm CMOS. BSN 2013: 1-5 - [c15]Gregory Ely, Shuchin Aeron:
Methods for large scale hydraulic fracture monitoring. CAMSAP 2013: 272-275 - [c14]George K. Atia, Shuchin Aeron:
Controlled sensing for sequential estimation. GlobalSIP 2013: 125-128 - [c13]Jason Gejie Liu, Shuchin Aeron:
Robust large-scale non-negative matrix factorization using Proximal Point algorithm. GlobalSIP 2013: 1127-1130 - [c12]Gregory Ely, Shuchin Aeron, Eric L. Miller:
Exploiting structural complexity for robust and rapid hyperspectral imaging. ICASSP 2013: 2193-2197 - [c11]Robert D'Angelo, Michael Trakimas, Shuchin Aeron, Sameer R. Sonkusale:
Experimental results on wideband spectrum sensing using random sampling ADC in 90nm CMOS. ISCAS 2013: 1970-1973 - [i10]Gregory Ely, Shuchin Aeron:
Complexity penalized hydraulic fracture localization and moment tensor estimation under limited model information. CoRR abs/1305.0060 (2013) - [i9]Gregory Ely, Shuchin Aeron:
Robust Hydraulic Fracture Monitoring (HFM) of Multiple Time Overlapping Events Using a Generalized Discrete Radon Transform. CoRR abs/1305.2169 (2013) - [i8]Gregory Ely, Shuchin Aeron, Eric L. Miller:
Exploiting Structural Complexity for Robust and Rapid Hyperspectral Imaging. CoRR abs/1305.2170 (2013) - [i7]Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, Misha Elena Kilmer:
Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data. CoRR abs/1307.0805 (2013) - [i6]Gregory Ely, Shuchin Aeron:
Methods for Large Scale Hydraulic Fracture Monitoring. CoRR abs/1309.1496 (2013) - [i5]Sandip Bose, Shuchin Aeron, Henri-Pierre Valero:
Joint multi-mode dispersion extraction in Fourier and space time domains. CoRR abs/1312.3981 (2013) - [i4]Usman A. Khan, Shuchin Aeron:
Consensus in the presence of interference. CoRR abs/1312.5202 (2013) - 2012
- [c10]Gregory Ely, Shuchin Aeron:
Robust Hydraulic Fracture Monitoring (HFM) of multiple time overlapping events using a generalized discrete radon transform. IGARSS 2012: 622-625 - [c9]Shuchin Aeron, Sandip Bose, Henri-Pierre Valero:
Robust detection of weak acoustic signals in noise using near optimal shrinkage in radon domain. SSP 2012: 13-16 - 2011
- [j4]Shuchin Aeron, Sandip Bose, Henri-Pierre Valero, Venkatesh Saligrama:
Broadband Dispersion Extraction Using Simultaneous Sparse Penalization. IEEE Trans. Signal Process. 59(10): 4821-4837 (2011) - 2010
- [j3]Shuchin Aeron, Venkatesh Saligrama, Manqi Zhao:
Information theoretic bounds for compressed sensing. IEEE Trans. Inf. Theory 56(10): 5111-5130 (2010) - [c8]Shuchin Aeron, Sandip Bose, Henri-Pierre Valero, Venkatesh Saligrama:
Sparsity penalized reconstruction framework for broadband dispersion extraction. ICASSP 2010: 2638-2641
2000 – 2009
- 2008
- [j2]Shuchin Aeron, Venkatesh Saligrama, David A. Castañón:
Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks. IEEE Trans. Signal Process. 56(6): 2562-2574 (2008) - [c7]George K. Atia, Shuchin Aeron, Erhan Baki Ermis, Venkatesh Saligrama:
On Throughput Maximization and Interference Avoidance in Cognitive Radios. CCNC 2008: 963-967 - [c6]Shuchin Aeron, Sandip Bose, Henri-Pierre Valero:
Automatic dispersion extraction using continuous wavelet transform. ICASSP 2008: 2405-2408 - [i3]Shuchin Aeron, Manqi Zhao, Venkatesh Saligrama:
Fundamental Limits on Sensing Capacity for Sensor Networks and Compressed Sensing. CoRR abs/0804.3439 (2008) - 2007
- [j1]Shuchin Aeron, Venkatesh Saligrama:
Wireless Ad Hoc Networks: Strategies and Scaling Laws for the Fixed SNR Regime. IEEE Trans. Inf. Theory 53(6): 2044-2059 (2007) - [i2]Shuchin Aeron, Manqi Zhao, Venkatesh Saligrama:
On sensing capacity of sensor networks for the class of linear observation, fixed SNR models. CoRR abs/0704.3434 (2007) - 2006
- [c5]Shuchin Aeron, Venkatesh Saligrama, David A. Castañón:
Energy Efficient Policies for Distributed Target Tracking in Multihop Sensor Networks. CDC 2006: 380-385 - [c4]Shuchin Aeron, Venkatesh Saligrama, David Castanon:
Distributed Target tracking and localization in multi-hop networks. CISS 2006: 990-995 - [i1]Shuchin Aeron, Venkatesh Saligrama:
Wireless ad-hoc networks: Strategies and Scaling laws for the fixed SNR regime. CoRR abs/cs/0608089 (2006) - 2004
- [c3]Murat Alanyali, Venkatesh Saligrama, Onur Savas, Shuchin Aeron:
Distributed Bayesian hypothesis testing in sensor networks. ACC 2004: 5369-5374 - [c2]Venkatesh Saligrama, Murat Alanyali, Onur Savas, Shuchin Aeron:
Classification in sensor networks. ISIT 2004: 251 - [c1]Shuchin Aeron, Venkatesh Saligrama:
Capacity scaling in wireless ad-hoc networks with Pe. ISIT 2004: 469
Coauthor Index
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