publications

2025

1. unlabeled sensing

   Alternating minimization algorithm for unlabeled sensing and linked linear regression

   Ahmed Ali Abbasi, Shuchin Aeron, and Abiy Tasissa

   Signal Processing, 2025

   DOI Bib

   @article{ABBASI2025109927,
     title = {Alternating minimization algorithm for unlabeled sensing and linked linear regression},
     journal = {Signal Processing},
     volume = {232},
     pages = {109927},
     year = {2025},
     issn = {0165-1684},
     doi = {https://doi.org/10.1016/j.sigpro.2025.109927},
     url = {https://www.sciencedirect.com/science/article/pii/S0165168425000428},
     author = {Abbasi, Ahmed Ali and Aeron, Shuchin and Tasissa, Abiy},
   }

2. optimal transport

   Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport

   Brendan Mallery, James M. Murphy, and Shuchin Aeron

   2025

   Bib

   @misc{mallery2025synthesisanalysisdataprobability,
     title = {Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport},
     author = {Mallery, Brendan and Murphy, James M. and Aeron, Shuchin},
     year = {2025},
     eprint = {2501.07446},
     archiveprefix = {arXiv},
     primaryclass = {stat.ML},
     url = {https://arxiv.org/abs/2501.07446}
   }

2024

1. generative modeling

   Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models

   Camila Pazos, Shuchin Aeron, Pierre-Hugues Beauchemin, Vincent Croft, Zhengyan Huan, Martin Klassen, and Taritree Wongjirad

   Methods, 2024

   Bib

   @article{pazos2024towards,
     title = {Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models},
     author = {Pazos, Camila and Aeron, Shuchin and Beauchemin, Pierre-Hugues and Croft, Vincent and Huan, Zhengyan and Klassen, Martin and Wongjirad, Taritree},
     journal = {Methods},
     volume = {4},
     pages = {4},
     year = {2024}
   }

2. contrastive learning

   On Neural Collapse in Contrastive Learning with Imbalanced Datasets

   Thuan Nguyen, Ruijie Jiang, Shuchin Aeron, Prakash Ishwar, and D. Richard Brown

   In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024

   DOI Bib

   @inproceedings{10734809,
     author = {Nguyen, Thuan and Jiang, Ruijie and Aeron, Shuchin and Ishwar, Prakash and Brown, D. Richard},
     booktitle = {2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)},
     title = {On Neural Collapse in Contrastive Learning with Imbalanced Datasets},
     year = {2024},
     volume = {},
     number = {},
     pages = {1-6},
     doi = {10.1109/MLSP58920.2024.10734809},
   }

3. optimal transport

   Distributionally Robust Domain Adaptation via Optimal Transport

   Akram S. Awad, Shuchin Aeron, and George K. Atia

   In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024

   DOI Bib

   @inproceedings{10734802,
     author = {Awad, Akram S. and Aeron, Shuchin and Atia, George K.},
     booktitle = {2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)},
     title = {Distributionally Robust Domain Adaptation via Optimal Transport},
     year = {2024},
     volume = {},
     number = {},
     pages = {1-6},
     doi = {10.1109/MLSP58920.2024.10734802}
   }

4. optimal transport

   Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications

   Matthew Werenski, Brendan Mallery, Shuchin Aeron, and James M. Murphy

   2024

   Bib

   @misc{werenski2024linearizedwassersteinbarycenterssynthesis,
     title = {Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications},
     author = {Werenski, Matthew and Mallery, Brendan and Aeron, Shuchin and Murphy, James M.},
     year = {2024},
     eprint = {2410.23602},
     archiveprefix = {arXiv},
     primaryclass = {stat.ML},
     url = {https://arxiv.org/abs/2410.23602}
   }

5. generative modeling

   Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images

   Zeviel Imani, Shuchin Aeron, and Taritree Wongjirad

   Physical Review Letters D, 2024

   Bib

   @article{imani2023score,
     title = {Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images},
     author = {Imani, Zeviel and Aeron, Shuchin and Wongjirad, Taritree},
     journal = {Physical Review Letters D},
     year = {2024},
   }

6. optimal transport

   On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection

   Matthew Werenski, Shoaib Bin Masud, James M Murphy, and Shuchin Aeron

   IEEE Transactions on Information Theory, 2024

   Bib

   @article{werenski2023rank,
     title = {On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection},
     author = {Werenski, Matthew and Masud, Shoaib Bin and Murphy, James M and Aeron, Shuchin},
     journal = {IEEE Transactions on Information Theory},
     year = {2024},
     addendum = {preprint:arXiv preprint arXiv:2302.07964, Accepted, to Appear},
   }

7. contrastive learning

   Systematic comparison of semi-supervised and self-supervised learning for medical image classification

   Zhe Huang, Ruijie Jiang, Shuchin Aeron, and Michael C Hughes

   In Computer Vision and Pattern Recognition (CVPR), 2024

   Bib

   @inproceedings{huang2023accuracy,
     author = {Huang, Zhe and Jiang, Ruijie and Aeron, Shuchin and Hughes, Michael C},
     title = {Systematic comparison of semi-supervised and self-supervised learning for medical image classification},
     booktitle = {Computer Vision and Pattern Recognition (CVPR)},
     year = {2024},
   }

2023

1. optimal transport

   Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations

   Kevin C. Cheng, Eric L. Miller, Michael C. Hughes, and Shuchin Aeron

   IEEE Transactions on Signal Processing, 2023

   DOI Bib

   @article{10224652,
     author = {Cheng, Kevin C. and Miller, Eric L. and Hughes, Michael C. and Aeron, Shuchin},
     journal = {IEEE Transactions on Signal Processing},
     title = {Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations},
     year = {2023},
     volume = {71},
     number = {},
     pages = {3164-3178},
     doi = {10.1109/TSP.2023.3303616},
   }

2. rob-ml

   Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization

   Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, and Shuchin Aeron

   IEEE Access, 2023

   DOI Bib

   @article{Lyu_Access,
     author = {Lyu, Boyang and Nguyen, Thuan and Ishwar, Prakash and Scheutz, Matthias and Aeron, Shuchin},
     journal = {IEEE Access},
     title = {Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization},
     year = {2023},
     volume = {11},
     number = {},
     pages = {49226-49240},
     doi = {10.1109/ACCESS.2023.3276775},
   }

3. optimal transport

   Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling

   Shoaib Bin Masud, Matthew Werenski, James M Murphy, and Shuchin Aeron

   Journal of Machine Learning Research, 2023

   Bib

   @article{masud2023multivariate,
     title = {Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling},
     author = {Masud, Shoaib Bin and Werenski, Matthew and Murphy, James M and Aeron, Shuchin},
     journal = {Journal of Machine Learning Research},
     volume = {24},
     number = {160},
     pages = {1--65},
     year = {2023},
   }

4. optimal transport

   Geometrically Regularized Wasserstein Dictionary Learning

   Marshall Mueller, Shuchin Aeron, James M. Murphy, and Abiy Tasissa

   In Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), 28 jul 2023

   Bib

   @inproceedings{pmlr-v221-mueller23a,
     title = {Geometrically Regularized Wasserstein Dictionary Learning},
     author = {Mueller, Marshall and Aeron, Shuchin and Murphy, James M. and Tasissa, Abiy},
     booktitle = {Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)},
     pages = {384--403},
     year = {2023},
     volume = {221},
     series = {Proceedings of Machine Learning Research},
     month = {28 Jul},
     publisher = {PMLR},
   }

5. rob-ml

   Improving adversarial robustness by learning shared information

   Xi Yu, Niklas Smedemark-Margulies, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Matthew Brand, Kieran Parsons, and Ye Wang

   Pattern Recognition, 28 jul 2023

   Bib

   @article{yu2023improving,
     title = {Improving adversarial robustness by learning shared information},
     author = {Yu, Xi and Smedemark-Margulies, Niklas and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Brand, Matthew and Parsons, Kieran and Wang, Ye},
     journal = {Pattern Recognition},
     volume = {134},
     pages = {109054},
     year = {2023},
     publisher = {Elsevier},
   }

6. contrastive learning

   Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning

   Ruijie Jiang, Prakash Ishwar, and Shuchin Aeron

   In 2023 International Joint Conference on Neural Networks (IJCNN), 28 jul 2023

   DOI Bib

   @inproceedings{Jiang_IJCNN23,
     author = {Jiang, Ruijie and Ishwar, Prakash and Aeron, Shuchin},
     booktitle = {2023 International Joint Conference on Neural Networks (IJCNN)},
     title = {Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning},
     year = {2023},
     volume = {},
     number = {},
     pages = {1-8},
     doi = {10.1109/IJCNN54540.2023.10191650},
   }

7. under-review-prep

   On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling

   Ruijie Jiang, Thuan Nguyen, Shuchin Aeron, and Prakash Ishwar

   arXiv preprint arXiv:2311.05139, 28 jul 2023

   Bib

   @article{jiang2023neural,
     title = {On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling},
     author = {Jiang, Ruijie and Nguyen, Thuan and Aeron, Shuchin and Ishwar, Prakash},
     journal = {arXiv preprint arXiv:2311.05139},
     year = {2023},
     addendum = {Under review},
   }

8. optimal transport

   Estimation of entropy-regularized optimal transport maps between non-compactly supported measures

   Matthew Werenski, James M Murphy, and Shuchin Aeron

   arXiv preprint arXiv:2311.11934, 28 jul 2023

2022

1. rob-ml

   Joint covariate-alignment and concept-alignment: a framework for domain generalization

   Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, and Shuchin Aeron

   In 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), 28 jul 2022

   Bib

   @inproceedings{nguyen2022joint,
     title = {Joint covariate-alignment and concept-alignment: a framework for domain generalization},
     author = {Nguyen, Thuan and Lyu, Boyang and Ishwar, Prakash and Scheutz, Matthias and Aeron, Shuchin},
     booktitle = {2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP)},
     pages = {1--6},
     year = {2022},
     organization = {IEEE},
   }

2. rob-ml

   Easy Variational Inference for Categorical Models via an Independent Binary Approximation

   Michael T Wojnowicz, Shuchin Aeron, Eric L Miller, and Michael Hughes

   In International Conference on Machine Learning, 28 jul 2022

   Bib

   @inproceedings{wojnowicz2022easy,
     title = {Easy Variational Inference for Categorical Models via an Independent Binary Approximation},
     author = {Wojnowicz, Michael T and Aeron, Shuchin and Miller, Eric L and Hughes, Michael},
     booktitle = {International Conference on Machine Learning},
     pages = {23857--23896},
     year = {2022},
     organization = {PMLR},
   }

3. uls

   r-Local Unlabeled Sensing: Improved Algorithm and Applications

   Ahmed Ali Abbasi, Abiy Tasissa, and Shuchin Aeron

   In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 28 jul 2022
4. optimal transport

   Measure Estimation in the Barycentric Coding Model

   Mattthew E Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, and James M Murphy

   In International Conference on Machine Learning, 28 jul 2022

   Bib

   @inproceedings{werenski2022measure,
     title = {Measure Estimation in the Barycentric Coding Model},
     author = {Werenski, Mattthew E and Jiang, Ruijie and Tasissa, Abiy and Aeron, Shuchin and Murphy, James M},
     booktitle = {International Conference on Machine Learning},
     pages = {23781--23803},
     year = {2022},
     organization = {PMLR},
   }

5. inter-disp

   Analyzing Students’ Written Arguments by Combining Qualitative and Computational Approaches

   Julia Gouvea, Ruijie Jiang, and Shuchin Aeron

   In Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning-CSCL 2022, pp. 163-170, 28 jul 2022

   Bib

   @inproceedings{gouvea2022analyzing,
     title = {Analyzing Students’ Written Arguments by Combining Qualitative and Computational Approaches},
     author = {Gouvea, Julia and Jiang, Ruijie and Aeron, Shuchin},
     booktitle = {Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning-CSCL 2022, pp. 163-170},
     year = {2022},
     organization = {International Society of the Learning Sciences},
   }

6. inter-disp

   Flexible Bioelectronics with Power Autonomous Sensing and Data Analytics

   Sameer Sonkusale, Maryam Shojaei Baghini, and Shuchin Aeron

   28 jul 2022

   Bib

   @book{sonkusale2022flexible,
     title = {Flexible Bioelectronics with Power Autonomous Sensing and Data Analytics},
     author = {Sonkusale, Sameer and Baghini, Maryam Shojaei and Aeron, Shuchin},
     year = {2022},
     publisher = {Springer},
   }

7. rob-ml

   Conditional entropy minimization principle for learning domain invariant representation features

   Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, and Shuchin Aeron

   In 2022 26th International Conference on Pattern Recognition (ICPR), 28 jul 2022

   DOI Bib

   @inproceedings{ICPR_2022,
     author = {Nguyen, Thuan and Lyu, Boyang and Ishwar, Prakash and Scheutz, Matthias and Aeron, Shuchin},
     booktitle = {2022 26th International Conference on Pattern Recognition (ICPR)},
     title = {Conditional entropy minimization principle for learning domain invariant representation features},
     year = {2022},
     pages = {3000-3006},
     doi = {10.1109/ICPR56361.2022.9956548},
   }

8. inter-disp

   Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task

   Ayca Aygun, Boyang Lyu, Thuan Nguyen, Zachary Haga, Shuchin Aeron, and Matthias Scheutz

   In Proceedings of the 2022 International Conference on Multimodal Interaction, Bengaluru, India, 28 jul 2022

   Bib

   @inproceedings{Ayca_ICMI22,
     author = {Aygun, Ayca and Lyu, Boyang and Nguyen, Thuan and Haga, Zachary and Aeron, Shuchin and Scheutz, Matthias},
     title = {Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task},
     year = {2022},
     isbn = {9781450393904},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3536221.3556610},
     booktitle = {Proceedings of the 2022 International Conference on Multimodal Interaction},
     pages = {337–348},
     numpages = {12},
     location = {Bengaluru, India},
     series = {ICMI '22},
   }

9. rob-ml

   On non-parametric density estimation on linear and non-linear manifolds using generalized Radon transforms

   James Webber, Erika Hussey, Eric Miller, and Shuchin Aeron

   Communications in Statistics - Theory and Methods, 28 jul 2022

   DOI Bib

   @article{doi:10.1080/03610926.2021.1897143,
     author = {Webber, James and Hussey, Erika and Miller, Eric and Aeron, Shuchin},
     title = {On non-parametric density estimation on linear and non-linear manifolds using generalized Radon transforms},
     journal = {Communications in Statistics - Theory and Methods},
     volume = {51},
     number = {23},
     pages = {8406-8426},
     year = {2022},
     publisher = {Taylor & Francis},
     doi = {10.1080/03610926.2021.1897143},
   }

10. under-review-prep

    Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing

    Ahmed Abbasi, Abiy Tasissa, and Shuchin Aeron

    arXiv preprint arXiv:2211.07621, 28 jul 2022

    Bib

    @article{abbasi2022alternating,
      title = {Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing},
      author = {Abbasi, Ahmed and Tasissa, Abiy and Aeron, Shuchin},
      journal = {arXiv preprint arXiv:2211.07621},
      year = {2022},
      addendum = {To be submitted},
    }

2021

1. contrastive learning

   Interpretable contrastive word mover’s embedding

   Ruijie Jiang, Julia Gouvea, Eric Miller, David Hammer, and Shuchin Aeron

   Neurips 2021 Workshop on Optimal Transport and Machine Learning (OTML), arXiv preprint arXiv:2111.01023, 28 jul 2021

   Bib

   @article{jiang2021interpretable,
     title = {Interpretable contrastive word mover's embedding},
     author = {Jiang, Ruijie and Gouvea, Julia and Miller, Eric and Hammer, David and Aeron, Shuchin},
     journal = {Neurips 2021 Workshop on Optimal Transport and Machine Learning (OTML), arXiv preprint arXiv:2111.01023},
     year = {2021},
   }

2. optimal transport

   Dynamical Wasserstein Barycenters for Time-series Modeling

   Kevin Cheng, Shuchin Aeron, Michael C Hughes, and Eric L Miller

   Advances in Neural Information Processing Systems, 28 jul 2021

   Bib

   @article{cheng2021dynamical,
     title = {Dynamical Wasserstein Barycenters for Time-series Modeling},
     author = {Cheng, Kevin and Aeron, Shuchin and Hughes, Michael C and Miller, Eric L},
     journal = {Advances in Neural Information Processing Systems},
     volume = {34},
     pages = {27991--28003},
     year = {2021},
   }

3. rob-ml

   Towards Universal Adversarial Examples and Defenses

   Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, and Kieran Parsons

   In 2021 IEEE Information Theory Workshop (ITW), 28 jul 2021

   Bib

   @inproceedings{rakin2021towards,
     title = {Towards Universal Adversarial Examples and Defenses},
     author = {Rakin, Adnan Siraj and Wang, Ye and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Parsons, Kieran},
     booktitle = {2021 IEEE Information Theory Workshop (ITW)},
     pages = {1--6},
     year = {2021},
     organization = {IEEE},
   }

4. inter-disp

   Domain adaptation for robust workload level alignment between sessions and subjects using fNIRS

   Boyang Lyu, Thao Pham, Giles Blaney, Zachary Haga, Angelo Sassaroli, Sergio Fantini, and Shuchin Aeron

   Journal of Biomedical Optics, 28 jul 2021
5. uls

   R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutations

   Ahmed Ali Abbasi, Abiy Tasissa, and Shuchin Aeron

   IEEE Open Journal of Signal Processing, 28 jul 2021

   Bib

   @article{abbasi2021r,
     title = {R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutations},
     author = {Abbasi, Ahmed Ali and Tasissa, Abiy and Aeron, Shuchin},
     journal = {IEEE Open Journal of Signal Processing},
     volume = {2},
     pages = {309--317},
     year = {2021},
     publisher = {IEEE},
   }

6. uls

   Multiview Sensing with Unknown Permutations: an Optimal Transport Approach

   Yanting Ma, Petros T Boufounos, Hassan Mansour, and Shuchin Aeron

   In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 28 jul 2021

   Bib

   @inproceedings{ma2021multiview,
     title = {Multiview Sensing with Unknown Permutations: an Optimal Transport Approach},
     author = {Ma, Yanting and Boufounos, Petros T and Mansour, Hassan and Aeron, Shuchin},
     booktitle = {ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {1440--1444},
     year = {2021},
     organization = {IEEE},
   }

7. inter-disp

   Utilizing machine learning with knockoff filtering to extract significant metabolites in Crohn’s disease with a publicly available untargeted metabolomics dataset

   Shoaib Bin Masud, Conor Jenkins, Erika Hussey, Seth Elkin-Frankston, Phillip Mach, Elizabeth Dhummakupt, and Shuchin Aeron

   Plos one, 28 jul 2021

   Bib

   @article{bin2021utilizing,
     title = {Utilizing machine learning with knockoff filtering to extract significant metabolites in Crohn’s disease with a publicly available untargeted metabolomics dataset},
     author = {Bin Masud, Shoaib and Jenkins, Conor and Hussey, Erika and Elkin-Frankston, Seth and Mach, Phillip and Dhummakupt, Elizabeth and Aeron, Shuchin},
     journal = {Plos one},
     volume = {16},
     number = {7},
     year = {2021},
     publisher = {Public Library of Science San Francisco, CA USA},
   }

8. rob-ml

   Robust Machine Learning via Privacy/ Rate-Distortion Theory

   Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, and Pierre Moulin

   In 2021 IEEE International Symposium on Information Theory (ISIT), 28 jul 2021

   DOI Bib

   @inproceedings{Wang_RML,
     author = {Wang, Ye and Aeron, Shuchin and Rakin, Adnan Siraj and Koike-Akino, Toshiaki and Moulin, Pierre},
     booktitle = {2021 IEEE International Symposium on Information Theory (ISIT)},
     title = {Robust Machine Learning via Privacy/ Rate-Distortion Theory},
     year = {2021},
     volume = {},
     number = {},
     pages = {1320-1325},
     doi = {10.1109/ISIT45174.2021.9517751},
   }

9. inter-disp

   Towards Designing and Exploiting Generative Networks for Neutrino Physics Experiments using Liquid Argon Time Projection Chambers

   Paul Lutkus, Taritree Wongjirad, and Shuchin Aeron

   In ICLR Workshop on Deep Learning for Simulation, 28 jul 2021

   Bib

   @inproceedings{lutkus2022towards,
     title = {Towards Designing and Exploiting Generative Networks for Neutrino Physics Experiments using Liquid Argon Time Projection Chambers},
     author = {Lutkus, Paul and Wongjirad, Taritree and Aeron, Shuchin},
     booktitle = {ICLR Workshop on Deep Learning for Simulation},
     year = {2021},
     addendum = { arXiv preprint arXiv:2204.02496},
   }

10. inter-disp

    High Resolution Frequency Measurement Techniques for Relaxation Oscillator Based Capacitive Sensors

    Laxmeesha Somappa, Shahid Malik, Shuchin Aeron, Sameer Sonkusale, and Maryam Shojaei Baghini

    IEEE Sensors Journal, 28 jul 2021

    DOI Bib

    @article{Somappa_2021,
      author = {Somappa, Laxmeesha and Malik, Shahid and Aeron, Shuchin and Sonkusale, Sameer and Baghini, Maryam Shojaei},
      journal = {IEEE Sensors Journal},
      title = {High Resolution Frequency Measurement Techniques for Relaxation Oscillator Based Capacitive Sensors},
      year = {2021},
      volume = {21},
      number = {12},
      pages = {13394-13404},
      doi = {10.1109/JSEN.2021.3068351},
    }

2020

1. contrastive learning

   Automatic coding of students’ writing via Contrastive Representation Learning in the Wasserstein space

   Ruijie Jiang, Julia Gouvea, David Hammer, and Shuchin Aeron

   arXiv preprint arXiv:2011.13384, 28 jul 2020

   Bib

   @article{Ruijie_2020_ArXiv,
     author = {Jiang, Ruijie and Gouvea, Julia and Hammer, David and Aeron, Shuchin},
     title = {Automatic coding of students' writing via Contrastive Representation
                    Learning in the {W}asserstein space},
     journal = {arXiv preprint arXiv:2011.13384},
     year = {2020},
     archiveprefix = {arXiv},
   }

2. optimal transport

   Optimal transport based change point detection and time series segment clustering

   Kevin C Cheng, Shuchin Aeron, Michael C Hughes, Erika Hussey, and Eric L Miller

   In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 28 jul 2020

   Bib

   @inproceedings{cheng2020optimal,
     title = {Optimal transport based change point detection and time series segment clustering},
     author = {Cheng, Kevin C and Aeron, Shuchin and Hughes, Michael C and Hussey, Erika and Miller, Eric L},
     booktitle = {ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {6034--6038},
     year = {2020},
     organization = {IEEE},
   }

3. optimal transport

   Representation learning via adversarially-contrastive optimal transport

   Anoop Cherian, and Shuchin Aeron

   In International Conference on Machine Learning, 28 jul 2020

   Bib

   @inproceedings{cherian2020representation,
     title = {Representation learning via adversarially-contrastive optimal transport},
     author = {Cherian, Anoop and Aeron, Shuchin},
     booktitle = {International Conference on Machine Learning},
     pages = {1820--1830},
     year = {2020},
     organization = {PMLR},
   }

4. optimal transport

   On matched filtering for statistical change point detection

   Kevin C Cheng, Eric L Miller, Michael C Hughes, and Shuchin Aeron

   IEEE Open Journal of Signal Processing, 28 jul 2020

   Bib

   @article{cheng2020matched,
     title = {On matched filtering for statistical change point detection},
     author = {Cheng, Kevin C and Miller, Eric L and Hughes, Michael C and Aeron, Shuchin},
     journal = {IEEE Open Journal of Signal Processing},
     volume = {1},
     pages = {159--176},
     year = {2020},
     publisher = {IEEE},
   }

5. optimal transport

   Optimization-based incentivization and control scheme for autonomous traffic

   Uroš Kalabić, Piyush Grover, and Shuchin Aeron

   In 2020 IEEE Intelligent Vehicles Symposium (IV), 28 jul 2020

   DOI Bib

   @inproceedings{Uros_2020,
     author = {Kalabić, Uroš and Grover, Piyush and Aeron, Shuchin},
     booktitle = {2020 IEEE Intelligent Vehicles Symposium (IV)},
     title = {Optimization-based incentivization and control scheme for autonomous traffic},
     year = {2020},
     volume = {},
     number = {},
     pages = {1444-1449},
     doi = {10.1109/IV47402.2020.9304641},
   }

6. inter-disp

   On Quantized Analog Compressive Sensing Methods for Efficient Resonator Frequency Estimation

   Laxmeesha Somappa, Shuchin Aeron, Adarsh G. Menon, Sameer Sonkusale, Ashwin A. Seshia, and Maryam Shojaei Baghini

   IEEE Transactions on Circuits and Systems I: Regular Papers, 28 jul 2020

   DOI Bib

   @article{Somappa_2020,
     author = {Somappa, Laxmeesha and Aeron, Shuchin and Menon, Adarsh G. and Sonkusale, Sameer and Seshia, Ashwin A. and Baghini, Maryam Shojaei},
     journal = {IEEE Transactions on Circuits and Systems I: Regular Papers},
     title = {On Quantized Analog Compressive Sensing Methods for Efficient Resonator Frequency Estimation},
     year = {2020},
     volume = {67},
     number = {12},
     pages = {4556-4565},
     doi = {10.1109/TCSI.2020.3000745},
   }

2019

1. misc

   Common Randomized Shortest Paths (C-RSP): A Simple Yet Effective Framework for Multi-view Graph Embedding

   A. Gamage, B. Rappaport, S. Aeron, and X. Hu

   In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 28 jul 2019

   Bib

   @inproceedings{Gamage:2018vc,
     author = {{Gamage}, A. and {Rappaport}, B. and {Aeron}, S. and {Hu}, X.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Common Randomized Shortest Paths ({C-RSP}): A Simple Yet Effective Framework for Multi-view Graph Embedding},
     year = {2019},
     volume = {},
     number = {},
     pages = {3542-3546},
   }

2. tensor factorization

   Principal component analysis with tensor train subspace

   Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron

   Pattern Recognition Letters, 28 jul 2019

   Bib

   @article{Wang:2018va,
     title = {Principal component analysis with tensor train subspace},
     author = {Wang, Wenqi and Aggarwal, Vaneet and Aeron, Shuchin},
     journal = {Pattern Recognition Letters},
     volume = {122},
     pages = {86--91},
     year = {2019},
     publisher = {Elsevier},
   }

3. tensor factorization

   Low-tubal-rank tensor completion using alternating minimization

   Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, and Xiaodong Wang

   IEEE Transactions on Information Theory, 28 jul 2019

   Bib

   @article{liu2019low,
     title = {Low-tubal-rank tensor completion using alternating minimization},
     author = {Liu, Xiao-Yang and Aeron, Shuchin and Aggarwal, Vaneet and Wang, Xiaodong},
     journal = {IEEE Transactions on Information Theory},
     volume = {66},
     number = {3},
     pages = {1714--1737},
     year = {2019},
     publisher = {IEEE},
   }

2018

1. tensor factorization

   A randomized tensor singular value decomposition based on the t-product

   Jiani Zhang, Arvind K Saibaba, Misha E Kilmer, and Shuchin Aeron

   Numerical Linear Algebra with Applications, 28 jul 2018

   Bib

   @article{Zhang:2018ux,
     title = {A randomized tensor singular value decomposition based on the t-product},
     author = {Zhang, Jiani and Saibaba, Arvind K and Kilmer, Misha E and Aeron, Shuchin},
     journal = {Numerical Linear Algebra with Applications},
     volume = {25},
     number = {5},
     pages = {e2179},
     year = {2018},
     publisher = {Wiley Online Library},
   }

2. tensor factorization

   Tensor train neighborhood preserving embedding

   Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron

   IEEE Transactions on Signal Processing, 28 jul 2018

   Bib

   @article{Wang:2018vo,
     title = {Tensor train neighborhood preserving embedding},
     author = {Wang, Wenqi and Aggarwal, Vaneet and Aeron, Shuchin},
     journal = {IEEE Transactions on Signal Processing},
     volume = {66},
     number = {10},
     pages = {2724--2732},
     year = {2018},
     publisher = {IEEE},
   }

2017

1. misc

   Algebraic multigrid for least squares problems on graphs with applications to hodgerank

   Charles Colley, Junyuan Lin, Xiaozhe Hu, and Shuchin Aeron

   In 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 28 jul 2017

   Bib

   @inproceedings{Colley:2017wf,
     title = {Algebraic multigrid for least squares problems on graphs with applications to hodgerank},
     author = {Colley, Charles and Lin, Junyuan and Hu, Xiaozhe and Aeron, Shuchin},
     booktitle = {2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)},
     pages = {627--636},
     year = {2017},
     organization = {IEEE},
   }

2. tensor factorization

   Efficient low rank tensor ring completion

   Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron

   In Proceedings of the IEEE International Conference on Computer Vision, 28 jul 2017

   Bib

   @inproceedings{Wang:2017ts,
     title = {Efficient low rank tensor ring completion},
     author = {Wang, Wenqi and Aggarwal, Vaneet and Aeron, Shuchin},
     booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
     pages = {5697--5705},
     year = {2017},
   }

3. misc

   Faster Clustering via Non-Backtracking Random Walks

   Brian Rappaport, Anuththari Gamage, and Shuchin Aeron

   arXiv preprint arXiv:1708.07967, 28 jul 2017
4. misc

   Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model

   Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron

   Pattern Recognition Letters, 28 jul 2017

   Bib

   @article{Wang:2017wa,
     title = {Unsupervised clustering under the Union of Polyhedral Cones ({UOPC}) model},
     author = {Wang, Wenqi and Aggarwal, Vaneet and Aeron, Shuchin},
     journal = {Pattern Recognition Letters},
     volume = {100},
     pages = {104--109},
     year = {2017},
     publisher = {Elsevier},
   }

5. tensor factorization

   Word embeddings via tensor factorization

   Eric Bailey, and Shuchin Aeron

   arXiv preprint arXiv:1704.02686, 28 jul 2017

   Bib

   @article{Bailey:2017vaa,
     title = {Word embeddings via tensor factorization},
     author = {Bailey, Eric and Aeron, Shuchin},
     journal = {arXiv preprint arXiv:1704.02686},
     year = {2017},
   }

2016

1. tensor factorization

   Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting

   Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, and Min-You Wu

   In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 28 jul 2016

   Bib

   @inproceedings{liu2016tensor,
     title = {Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting},
     author = {Liu, Xiao-Yang and Aeron, Shuchin and Aggarwal, Vaneet and Wang, Xiaodong and Wu, Min-You},
     booktitle = {2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {2529--2533},
     year = {2016},
     organization = {IEEE},
   }

2. tensor factorization

   Inferring smartphone service quality using tensor methods

   Vaneet Aggarwal, Ajay Mahimkar, Hongyao Ma, Zemin Zhang, Shuchin Aeron, and Walter Willinger

   In 2016 12th International Conference on Network and Service Management (CNSM), 28 jul 2016

   Bib

   @inproceedings{aggarwal2016inferring,
     title = {Inferring smartphone service quality using tensor methods},
     author = {Aggarwal, Vaneet and Mahimkar, Ajay and Ma, Hongyao and Zhang, Zemin and Aeron, Shuchin and Willinger, Walter},
     booktitle = {2016 12th International Conference on Network and Service Management (CNSM)},
     pages = {263--267},
     year = {2016},
     organization = {IEEE},
   }

3. tensor factorization

   Exact tensor completion using t-SVD

   Zemin Zhang, and Shuchin Aeron

   IEEE Transactions on Signal Processing, 28 jul 2016

   Bib

   @article{Zhang:2017vm,
     title = {Exact tensor completion using t-{SVD}},
     author = {Zhang, Zemin and Aeron, Shuchin},
     journal = {IEEE Transactions on Signal Processing},
     volume = {65},
     number = {6},
     pages = {1511--1526},
     year = {2016},
     publisher = {IEEE},
   }

4. tensor factorization

   Denoising and Completion of 3D Data via Multidimensional Dictionary Learning

   Zemin Zhang, and Shuchin Aeron

   In , New York, New York, USA, 28 jul 2016

   Bib

   @inproceedings{10.5555/3060832.3060953,
     author = {Zhang, Zemin and Aeron, Shuchin},
     title = {Denoising and Completion of 3D Data via Multidimensional Dictionary Learning},
     year = {2016},
     isbn = {9781577357704},
     publisher = {AAAI Press},
     pages = {2371–2377},
     numpages = {7},
     location = {New York, New York, USA},
     series = {IJCAI'16},
   }

5. tensor factorization

   An online tensor robust PCA algorithm for sequential 2D data

   Zemin Zhang, Dehong Liu, Shuchin Aeron, and Anthony Vetro

   In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 28 jul 2016

   Bib

   @inproceedings{zhang2016online,
     title = {An online tensor robust PCA algorithm for sequential 2D data},
     author = {Zhang, Zemin and Liu, Dehong and Aeron, Shuchin and Vetro, Anthony},
     booktitle = {2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {2434--2438},
     year = {2016},
     organization = {IEEE},
   }

6. tensor factorization

   Sampling and recovery of MRI data using low rank tensor models

   Daniel Banco, Shuchin Aeron, and W Scott Hoge

   In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 28 jul 2016

   Bib

   @inproceedings{banco2016sampling,
     title = {Sampling and recovery of MRI data using low rank tensor models},
     author = {Banco, Daniel and Aeron, Shuchin and Hoge, W Scott},
     booktitle = {2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
     pages = {448--452},
     year = {2016},
     organization = {IEEE},
   }

2015

1. tensor factorization

   Tensor–tensor products with invertible linear transforms

   Eric Kernfeld, Misha Kilmer, and Shuchin Aeron

   Linear Algebra and its Applications, 28 jul 2015

   Bib

   @article{kernfeld2015tensor,
     title = {Tensor--tensor products with invertible linear transforms},
     author = {Kernfeld, Eric and Kilmer, Misha and Aeron, Shuchin},
     journal = {Linear Algebra and its Applications},
     volume = {485},
     pages = {545--570},
     year = {2015},
     publisher = {Elsevier},
   }

2. tensor factorization

   Adaptive sampling of RF fingerprints for fine-grained indoor localization

   Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, and Min-You Wu

   IEEE Transactions on Mobile Computing, 28 jul 2015

   Bib

   @article{liu2015adaptive,
     title = {Adaptive sampling of RF fingerprints for fine-grained indoor localization},
     author = {Liu, Xiao-Yang and Aeron, Shuchin and Aggarwal, Vaneet and Wang, Xiaodong and Wu, Min-You},
     journal = {IEEE Transactions on Mobile Computing},
     volume = {15},
     number = {10},
     pages = {2411--2423},
     year = {2015},
     publisher = {IEEE},
   }

3. tensor factorization

   5D seismic data completion and denoising using a novel class of tensor decompositions

   Gregory Ely, Shuchin Aeron, Ning Hao, and Misha E Kilmer

   Geophysics, 28 jul 2015

   Bib

   @article{ely20155d,
     title = {5D seismic data completion and denoising using a novel class of tensor decompositions},
     author = {Ely, Gregory and Aeron, Shuchin and Hao, Ning and Kilmer, Misha E},
     journal = {Geophysics},
     volume = {80},
     number = {4},
     pages = {V83--V95},
     year = {2015},
     publisher = {Society of Exploration Geophysicists},
   }

4. tensor factorization

   Tensor completion via optimization on the product of matrix manifolds

   Josh Girson, and Shuchin Aeron

   In 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 28 jul 2015

   DOI Bib

   @inproceedings{Girson_2015,
     author = {Girson, Josh and Aeron, Shuchin},
     booktitle = {2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
     title = {Tensor completion via optimization on the product of matrix manifolds},
     year = {2015},
     volume = {},
     number = {},
     pages = {177-180},
     doi = {10.1109/CAMSAP.2015.7383765},
   }

2014

1. tensor factorization

   Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD

   Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, and Misha Kilmer

   In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2014

   Bib

   @inproceedings{Zhang_2014_CVPR,
     author = {Zhang, Zemin and Ely, Gregory and Aeron, Shuchin and Hao, Ning and Kilmer, Misha},
     title = {Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD},
     booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
     month = jun,
     year = {2014},
   }

2. tensor factorization

   Clustering multi-way data: A novel algebraic approach

   Eric Kernfeld, Shuchin Aeron, and Misha Kilmer

   arXiv preprint arXiv:1412.7056, Jun 2014

   Bib

   @article{kernfeld2014clustering,
     title = {Clustering multi-way data: A novel algebraic approach},
     author = {Kernfeld, Eric and Aeron, Shuchin and Kilmer, Misha},
     journal = {arXiv preprint arXiv:1412.7056},
     year = {2014},
   }