Shuchin Aeron

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 96

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

Allerton

Publications

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) (2024)
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 (2023)
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 (2023)
Zhe Huang, Ruijie Jiang, Shuchin Aeron, Michael C. Hughes
Accuracy versus time frontiers of semi-supervised and self-supervised learning on medical images. CoRR (2023)
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 (2023)
Laxmeesha Somappa, Shahid Malik, Shuchin Aeron, Sameer Sonkusale, Maryam Shojaei Baghini
A Compressed Sensing-based Resolution Reconfigurable Multi-Channel Sensor Node. SENSORS (2023)
Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron
Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization. IEEE Access 11 (2023)
Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa
Geometrically Regularized Wasserstein Dictionary Learning. TAG-ML (2023)
Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection. CoRR (2023)
Ruijie Jiang, Prakash Ishwar, Shuchin Aeron
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning. IJCNN (2023)
Thuan Nguyen, Matthias Scheutz, Shuchin Aeron
On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control. MLSP (2023)
Ruijie Jiang, Thuan Nguyen, Shuchin Aeron, Prakash Ishwar
On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling. CoRR (2023)
Boyang Lyu, Thuan Nguyen, Matthias Scheutz, Prakash Ishwar, Shuchin Aeron
A principled approach to model validation in domain generalization. CoRR (2023)
Matthew Werenski, James M. Murphy, Shuchin Aeron
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures. CoRR (2023)
Boyang Lyu, Thuan Nguyen, Matthias Scheutz, Prakash Ishwar, Shuchin Aeron
A Principled Approach to Model Validation in Domain Generalization. ICASSP (2023)
Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron
r-Local Unlabeled Sensing: Improved Algorithm and Applications. ICASSP (2022)
Ayca Aygun, Thuan Nguyen, Zachary Haga, Shuchin Aeron, Matthias Scheutz
Investigating Methods for Cognitive Workload Estimation for Assistive Robots. Sensors 22 (18) (2022)
Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron
Conditional entropy minimization principle for learning domain invariant representation features. ICPR (2022)
Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa
Geometric Sparse Coding in Wasserstein Space. CoRR (2022)
Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron
Joint Covariate-Alignment and Concept-Alignment: A Framework for Domain Generalization. MLSP (2022)
Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller, Michael C. Hughes
Easy Variational Inference for Categorical Models via an Independent Binary Approximation. CoRR (2022)
Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron
Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing. CoRR (2022)
Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron
Trade-off between reconstruction loss and feature alignment for domain generalization. ICMLA (2022)
Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy
Measure Estimation in the Barycentric Coding Model. CoRR (2022)
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)
Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron
Conditional entropy minimization principle for learning domain invariant representation features. CoRR (2022)
Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller, Michael C. Hughes
Easy Variational Inference for Categorical Models via an Independent Binary Approximation. ICML (2022)
Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron
Trade-off between reconstruction loss and feature alignment for domain generalization. CoRR (2022)
Ruijie Jiang, Thuan Nguyen, Prakash Ishwar, Shuchin Aeron
Supervised Contrastive Learning with Hard Negative Samples. CoRR (2022)
Mattthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy
Measure Estimation in the Barycentric Coding Model. ICML (2022)
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller
Non-Parametric and Regularized Dynamical Wasserstein Barycenters for Time-Series Analysis. CoRR (2022)
Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron
Joint covariate-alignment and concept-alignment: a framework for domain generalization. CoRR (2022)
Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons
Towards Universal Adversarial Examples and Defenses. ITW (2021)
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller
Dynamical Wasserstein Barycenters for Time-series Modeling. CoRR (2021)
Yanting Ma, Petros T. Boufounos, Hassan Mansour, Shuchin Aeron
Multiview Sensing with Unknown Permutations: an Optimal Transport Approach. ICASSP (2021)
Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron
r-local sensing: Improved algorithm and applications. CoRR (2021)
Ruijie Jiang, Prakash Ishwar, Shuchin Aeron
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning. CoRR (2021)
Shoaib Bin Masud, Boyang Lyu, Shuchin Aeron
Soft and subspace robust multivariate rank tests based on entropy regularized optimal transport. CoRR (2021)
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller
Dynamical Wasserstein Barycenters for Time-series Modeling. NeurIPS (2021)
Yanting Ma, Petros T. Boufounos, Hassan Mansour, Shuchin Aeron
Multiview Sensing With Unknown Permutations: An Optimal Transport Approach. CoRR (2021)
Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron
Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization. CoRR (2021)
Shoaib Bin Masud, Shuchin Aeron
Learning generative models for valid knockoffs using novel multivariate-rank based statistics. CoRR (2021)
Shoaib Bin Masud, Shuchin Aeron
Robust and efficient change point detection using novel multivariate rank-energy GoF test. CoRR (2021)
Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
Robust Machine Learning via Privacy/ Rate-Distortion Theory. ISIT (2021)
Ruijie Jiang, Julia Gouvea, Eric L. Miller, David Hammer, Shuchin Aeron
Interpretable contrastive word mover's embedding. CoRR (2021)
Ruijie Jiang, Julia Gouvea, David Hammer, Shuchin Aeron
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space. CoRR (2020)
Uros Kalabic, Piyush Grover, Shuchin Aeron
Optimization-based incentivization and control scheme for autonomous traffic. IV (2020)
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)
Anoop Cherian, Shuchin Aeron
Representation Learning via Adversarially-Contrastive Optimal Transport. CoRR (2020)
Anoop Cherian, Shuchin Aeron
Representation Learning via Adversarially-Contrastive Optimal Transport. ICML (2020)
Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang
Low-Tubal-Rank Tensor Completion Using Alternating Minimization. IEEE Trans. Inf. Theory 66 (3) (2020)
Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
Robust Machine Learning via Privacy/Rate-Distortion Theory. CoRR (2020)
Boyang Lyu, Thao Pham, Giles Blaney, Zachary Haga, Sergio Fantini, Shuchin Aeron
Domain Adaptation for Robust Workload Classification using fNIRS. CoRR (2020)
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. (12) (2020)
Yipeng Liu, Yuning Yang, Qibin Zhao, Shuchin Aeron
Editorial to The Special Issue on Tensor Image Processing. Signal Process. Image Commun. 73 (2019)
Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron
Unlabeled sensing with local permutations. CoRR (2019)
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 (2019)
Yanting Ma, Shuchin Aeron, Hassan Mansour
On the modes of convergence of Stochastic Optimistic Mirror Descent (OMD) for saddle point problems. CoRR (2019)
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Principal component analysis with tensor train subspace. Pattern Recognit. Lett. 122 (2019)
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)
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Tensor Train Neighborhood Preserving Embedding. IEEE Trans. Signal Process. 66 (10) (2018)
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)
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Principal Component Analysis with Tensor Train Subspace. CoRR (2018)
Anuththari Gamage, Brian Rappaport, Shuchin Aeron, Xiaozhe Hu
Multi-View Graph Embedding Using Randomized Shortest Paths. CoRR (2018)
Eric Bailey, Shuchin Aeron
Word Embeddings via Tensor Factorization. CoRR (2017)
Charles Colley, Junyuan Lin, Xiaozhe Hu, Shuchin Aeron
Algebraic Multigrid for Least Squares Problems on Graphs with Applications to HodgeRank. IPDPS Workshops (2017)
Zemin Zhang, Shuchin Aeron
Exact Tensor Completion Using t-SVD. IEEE Trans. Signal Process. 65 (6) (2017)
Bo Fan, Shuchin Aeron, Adam Pedrycz, Henri-Pierre Valero
On Acoustic Signal Compression for Ultrasonic Borehole Imaging. IEEE Trans. Computational Imaging 3 (2) (2017)
Mohammadhossein Chaghazardi, Shuchin Aeron
Sample, computation vs storage tradeoffs for classification using tensor subspace models. CoRR (2017)
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Efficient Low Rank Tensor Ring Completion. CoRR (2017)
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Tensor Train Neighborhood Preserving Embedding. CoRR (2017)
Brian Rappaport, Anuththari Gamage, Shuchin Aeron
Faster Clustering via Non-Backtracking Random Walks. CoRR (2017)
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model. Pattern Recognit. Lett. 100 (2017)
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) (2017)
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Efficient Low Rank Tensor Ring Completion. ICCV (2017)
Jiani Zhang, Arvind K. Saibaba, Misha Elena Kilmer, Shuchin Aeron
A Randomized Tensor Singular Value Decomposition based on the t-product. CoRR (2016)
Usman A. Khan, Shuchin Aeron
Distributed Subspace Consensus in the Presence of Dynamic In-Network Disturbance. IEEE Trans. Control. Netw. Syst. 3 (3) (2016)
Zemin Zhang, Shuchin Aeron
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning. IJCAI (2016)
Bo Fan, Zemin Zhang, Shuchin Aeron
A novel tensor algebraic approach for high-dimensional outlier detection under data misalignment. ICIP (2016)
Bo Fan, Shuchin Aeron
Group invariant subspace learning for outlier detection. SSP (2016)
Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal
On Deterministic Conditions for Subspace Clustering under Missing Data. CoRR (2016)
Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal
On deterministic conditions for subspace clustering under missing data. CoRR (2016)
Eric Kernfeld, Nathan Majumder, Shuchin Aeron, Misha E. Kilmer
Multilinear subspace clustering. SSP (2016)
Vaneet Aggarwal, Ajay Mahimkar, Hongyao Ma, Zemin Zhang, Shuchin Aeron, Walter Willinger
Inferring smartphone service quality using tensor methods. CNSM (2016)
Vaneet Aggarwal, Shuchin Aeron
A note on information-theoretic bounds on matrix completion under union of subspaces model. Allerton (2016)
Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang
Low-tubal-rank Tensor Completion using Alternating Minimization. CoRR (2016)
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) (2016)
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model. CoRR (2016)
Zemin Zhang, Dehong Liu, Shuchin Aeron, Anthony Vetro
An online tensor robust PCA algorithm for sequential 2D data. ICASSP (2016)
Josh Girson, Shuchin Aeron
Algorithms for item categorization based on ordinal ranking data. CoRR (2016)
Mohammadhossein Chaghazardi, Shuchin Aeron
On unsupervised clustering under the union of tensor subspaces. Allerton (2016)
Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal
On deterministic conditions for subspace clustering under missing data. ISIT (2016)
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) (2016)
Daniel Banco, Shuchin Aeron, W. Scott Hoge
Sampling and recovery of MRI data using low rank tensor models. EMBC (2016)
Josh Girson, Shuchin Aeron
Algorithms for item categorization based on ordinal ranking data. Allerton (2016)
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)
Zemin Zhang, Shuchin Aeron
Exact tensor completion using t-SVD. CoRR (2015)
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) (2015)
John Pothier, Josh Girson, Shuchin Aeron
An algorithm for online tensor prediction. CoRR (2015)
Shuchin Aeron, Eric Kernfeld
Group-invariant Subspace Clustering. Allerton (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shuchin Aeron