Shuchin Aeron

Orcid: 0000-0002-1049-9795

According to our database1, Shuchin Aeron authored at least 122 papers between 2004 and 2024.

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Bibliography

2024
Estimating Systemic Cognitive States from a Mixture of Physiological and Brain Signals.
Top. Cogn. Sci., July, 2024

On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection.
IEEE Trans. Inf. Theory, July, 2024

Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications.
CoRR, 2024

On Neural Collapse in Contrastive Learning with Imbalanced Datasets.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Distributionally Robust Domain Adaptation via Optimal Transport.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Supervised Contrastive Learning with Hard Negative Samples.
Proceedings of the International Joint Conference on Neural Networks, 2024

Systematic comparison of semi-supervised and self-supervised learning for medical image classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations.
IEEE Trans. Signal Process., 2023

Improving adversarial robustness by learning shared information.
Pattern Recognit., 2023

Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling.
J. Mach. Learn. Res., 2023

Estimation of entropy-regularized optimal transport maps between non-compactly supported measures.
CoRR, 2023

On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling.
CoRR, 2023

Accuracy versus time frontiers of semi-supervised and self-supervised learning on medical images.
CoRR, 2023

Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization.
IEEE Access, 2023

Geometrically Regularized Wasserstein Dictionary Learning.
Proceedings of the Topological, 2023

On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Compressed Sensing-based Resolution Reconfigurable Multi-Channel Sensor Node.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

A Principled Approach to Model Validation in Domain Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Investigating Methods for Cognitive Workload Estimation for Assistive Robots.
Sensors, 2022

Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing.
CoRR, 2022

Geometric Sparse Coding in Wasserstein Space.
CoRR, 2022

Non-Parametric and Regularized Dynamical Wasserstein Barycenters for Time-Series Analysis.
CoRR, 2022

Joint Covariate-Alignment and Concept-Alignment: A Framework for Domain Generalization.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Conditional entropy minimization principle for learning domain invariant representation features.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Trade-off between reconstruction loss and feature alignment for domain generalization.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Easy Variational Inference for Categorical Models via an Independent Binary Approximation.
Proceedings of the International Conference on Machine Learning, 2022

Measure Estimation in the Barycentric Coding Model.
Proceedings of the International Conference on Machine Learning, 2022

Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task.
Proceedings of the International Conference on Multimodal Interaction, 2022

r-Local Unlabeled Sensing: Improved Algorithm and Applications.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Interpretable contrastive word mover's embedding.
CoRR, 2021

Robust and efficient change point detection using novel multivariate rank-energy GoF test.
CoRR, 2021

Learning generative models for valid knockoffs using novel multivariate-rank based statistics.
CoRR, 2021

r-local sensing: Improved algorithm and applications.
CoRR, 2021

Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization.
CoRR, 2021

Soft and subspace robust multivariate rank tests based on entropy regularized optimal transport.
CoRR, 2021

Dynamical Wasserstein Barycenters for Time-series Modeling.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Universal Adversarial Examples and Defenses.
Proceedings of the IEEE Information Theory Workshop, 2021

Robust Machine Learning via Privacy/ Rate-Distortion Theory.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Multiview Sensing with Unknown Permutations: an Optimal Transport Approach.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Low-Tubal-Rank Tensor Completion Using Alternating Minimization.
IEEE Trans. Inf. Theory, 2020

On Quantized Analog Compressive Sensing Methods for Efficient Resonator Frequency Estimation.
IEEE Trans. Circuits Syst., 2020

Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space.
CoRR, 2020

Domain Adaptation for Robust Workload Classification using fNIRS.
CoRR, 2020

Optimization-based incentivization and control scheme for autonomous traffic.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Representation Learning via Adversarially-Contrastive Optimal Transport.
Proceedings of the 37th International Conference on Machine Learning, 2020

Optimal Transport Based Change Point Detection and Time Series Segment Clustering.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Editorial to The Special Issue on Tensor Image Processing.
Signal Process. Image Commun., 2019

Principal component analysis with tensor train subspace.
Pattern Recognit. Lett., 2019

Unlabeled sensing with local permutations.
CoRR, 2019

On the modes of convergence of Stochastic Optimistic Mirror Descent (OMD) for saddle point problems.
CoRR, 2019

Common Randomized Shortest Paths (C-RSP): A Simple Yet Effective Framework for Multi-view Graph Embedding.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Tensor Train Neighborhood Preserving Embedding.
IEEE Trans. Signal Process., 2018

A randomized tensor singular value decomposition based on the t-product.
Numer. Linear Algebra Appl., 2018

Multi-View Graph Embedding Using Randomized Shortest Paths.
CoRR, 2018

2017
Exact Tensor Completion Using t-SVD.
IEEE Trans. Signal Process., 2017

On Acoustic Signal Compression for Ultrasonic Borehole Imaging.
IEEE Trans. Computational Imaging, 2017

Guest Editorial Computational Imaging for Earth Sciences.
IEEE Trans. Computational Imaging, 2017

Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model.
Pattern Recognit. Lett., 2017

Faster Clustering via Non-Backtracking Random Walks.
CoRR, 2017

Sample, computation vs storage tradeoffs for classification using tensor subspace models.
CoRR, 2017

Word Embeddings via Tensor Factorization.
CoRR, 2017

Algebraic Multigrid for Least Squares Problems on Graphs with Applications to HodgeRank.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Efficient Low Rank Tensor Ring Completion.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization.
IEEE Trans. Mob. Comput., 2016

Distributed Subspace Consensus in the Presence of Dynamic In-Network Disturbance.
IEEE Trans. Control. Netw. Syst., 2016

gEFM: An Algorithm for Computing Elementary Flux Modes Using Graph Traversal.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model.
CoRR, 2016

Multilinear subspace clustering.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Group invariant subspace learning for outlier detection.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

On deterministic conditions for subspace clustering under missing data.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Denoising and Completion of 3D Data via Multidimensional Dictionary Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A novel tensor algebraic approach for high-dimensional outlier detection under data misalignment.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

An online tensor robust PCA algorithm for sequential 2D data.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Sampling and recovery of MRI data using low rank tensor models.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Inferring smartphone service quality using tensor methods.
Proceedings of the 12th International Conference on Network and Service Management, 2016

Algorithms for item categorization based on ordinal ranking data.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

On unsupervised clustering under the union of tensor subspaces.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

A note on information-theoretic bounds on matrix completion under union of subspaces model.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Joint Multi-Mode Dispersion Extraction in Frequency-Wavenumber and Space-Time Domains.
IEEE Trans. Signal Process., 2015

Robust Detection and Estimation for Logging While Drilling Monopole Acoustic Data.
IEEE Trans. Signal Process., 2015

Exploiting Algebraic and Structural Complexity for Single Snapshot Computed Tomography Hyperspectral Imaging Systems.
IEEE J. Sel. Top. Signal Process., 2015

An algorithm for online tensor prediction.
CoRR, 2015

Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints.
CoRR, 2015

Information-theoretic Bounds on Matrix Completion under Union of Subspaces Model.
CoRR, 2015

Tensor completion via optimization on the product of matrix manifolds.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Group-invariant Subspace Clustering.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Clustering multi-way data: a novel algebraic approach.
CoRR, 2014

Distributed averaging in the presence of interference.
Proceedings of the 6th International Symposium on Communications, 2014

First Order Methods for Robust non-negative matrix factorization for large scale noisy data.
Proceedings of the IEEE International Conference on Acoustics, 2014

Information alignment for consensus with interference.
Proceedings of the IEEE International Conference on Acoustics, 2014

Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
A Compressed Sensing Analog-to-Information Converter With Edge-Triggered SAR ADC Core.
IEEE Trans. Circuits Syst. I Regul. Pap., 2013

Complexity penalized hydraulic fracture localization and moment tensor estimation under limited model information
CoRR, 2013

Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data.
CoRR, 2013

Consensus in the presence of interference.
CoRR, 2013

Joint multi-mode dispersion extraction in Fourier and space time domains.
CoRR, 2013

Experimental results on wideband spectrum sensing using random sampling ADC in 90nm CMOS.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Exploiting structural complexity for robust and rapid hyperspectral imaging.
Proceedings of the IEEE International Conference on Acoustics, 2013

Robust large-scale non-negative matrix factorization using Proximal Point algorithm.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Controlled sensing for sequential estimation.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Methods for large scale hydraulic fracture monitoring.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Compressed sensing of EEG using a random sampling ADC in 90nm CMOS.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

Decomposing Biochemical Networks Into Elementary Flux Modes Using Graph Traversal.
Proceedings of the ACM Conference on Bioinformatics, 2013

Asymptotic optimality results for controlled sequential estimation.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Robust detection of weak acoustic signals in noise using near optimal shrinkage in radon domain.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Robust Hydraulic Fracture Monitoring (HFM) of multiple time overlapping events using a generalized discrete radon transform.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Broadband Dispersion Extraction Using Simultaneous Sparse Penalization.
IEEE Trans. Signal Process., 2011

2010
Information theoretic bounds for compressed sensing.
IEEE Trans. Inf. Theory, 2010

Sparsity penalized reconstruction framework for broadband dispersion extraction.
Proceedings of the IEEE International Conference on Acoustics, 2010

2008
Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks.
IEEE Trans. Signal Process., 2008

Fundamental Limits on Sensing Capacity for Sensor Networks and Compressed Sensing
CoRR, 2008

Automatic dispersion extraction using continuous wavelet transform.
Proceedings of the IEEE International Conference on Acoustics, 2008

On Throughput Maximization and Interference Avoidance in Cognitive Radios.
Proceedings of the 5th IEEE Consumer Communications and Networking Conference, 2008

2007
Wireless Ad Hoc Networks: Strategies and Scaling Laws for the Fixed SNR Regime.
IEEE Trans. Inf. Theory, 2007

On sensing capacity of sensor networks for the class of linear observation, fixed SNR models
CoRR, 2007

2006
Distributed Target tracking and localization in multi-hop networks.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

Energy Efficient Policies for Distributed Target Tracking in Multihop Sensor Networks.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2004
Classification in sensor networks.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Capacity scaling in wireless ad-hoc networks with P<sub>e</sub>.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Distributed Bayesian hypothesis testing in sensor networks.
Proceedings of the 2004 American Control Conference, 2004


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