Christopher J. Rozell

According to our database1, Christopher J. Rozell authored at least 84 papers between 1999 and 2022.

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Bibliography

2022
Variational Sparse Coding with Learned Thresholding.
CoRR, 2022

Oracle Guided Image Synthesis with Relative Queries.
CoRR, 2022

2021
Harnessing the Manifold Structure of Cardiomechanical Signals for Physiological Monitoring During Hemorrhage.
IEEE Trans. Biomed. Eng., 2021

Infrared Search and Track With Unbalanced Optimal Transport Dynamics Regularization.
IEEE Geosci. Remote. Sens. Lett., 2021

A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network.
IEEE J. Solid State Circuits, 2021

Learning Identity-Preserving Transformations on Data Manifolds.
CoRR, 2021

Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure.
CoRR, 2021

Variational Autoencoder with Learned Latent Structure.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Feedback Coding for Active Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals.
IEEE Trans. Signal Process., 2020

Unbalanced Optimal Transport Regularization for Imaging Problems.
IEEE Trans. Computational Imaging, 2020

Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer.
IEEE Signal Process. Lett., 2020

Generative causal explanations of black-box classifiers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning sparse codes from compressed representations with biologically plausible local wiring constraints.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Active Embedding Search via Noisy Paired Comparisons.
Proceedings of the Information Theory and Applications Workshop, 2020

The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A 17.8MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS.
Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

Representing Closed Transformation Paths in Encoded Network Latent Space.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Active Ordinal Querying for Tuplewise Similarity Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Active ordinal tuplewise querying for similarity learning.
CoRR, 2019

Hierarchical Optimal Transport for Multimodal Distribution Alignment.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dynamical System Implementations of Sparse Bayesian Learning.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Joint Estimation of Trajectory and Dynamics from Paired Comparisons.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Cell Membrane Tracking in Living Brain Tissue Using Differential Interference Contrast Microscopy.
IEEE Trans. Image Process., 2018

Matched Filtering for Heart Rate Estimation on Compressive Sensing ECG Measurements.
IEEE Trans. Biomed. Eng., 2018

Sparse Dynamic Filtering via Earth Mover's Distance Regularization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Interactive Object Segmentation with Noisy Binary Inputs.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks.
J. Mach. Learn. Res., 2017

Rank Learning by Ordinal Gerrymandering.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Precision cell boundary tracking on DIC microscopy video for patch clamping.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Fast ADMM solver for reweighted total variation image deconvolution and inpainting.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Earth-Mover's distance as a tracking regularizer.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Dynamic Filtering of Time-Varying Sparse Signals via ℓ<sub>1</sub> Minimization.
IEEE Trans. Signal Process., 2016

2015
Discrete and Continuous-Time Soft-Thresholding for Dynamic Signal Recovery.
IEEE Trans. Signal Process., 2015

Modeling Inhibitory Interneurons in Efficient Sensory Coding Models.
PLoS Comput. Biol., 2015

2014
Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation".
IEEE Trans. Neural Networks Learn. Syst., 2014

Short-Term Memory Capacity in Networks via the Restricted Isometry Property.
Neural Comput., 2014

Spectral Superresolution of Hyperspectral Imagery Using Reweighted ℓ<sub>1</sub> Spatial Filtering.
IEEE Geosci. Remote. Sens. Lett., 2014

Optimal Sparse Approximation with Integrate and Fire Neurons.
Int. J. Neural Syst., 2014

Iterative soft-thresholding for time-varying signal recovery.
Proceedings of the IEEE International Conference on Acoustics, 2014

A first analysis of the stability of Takens' embedding.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Can random linear networks store multiple long input streams?
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Convergence of basis pursuit de-noising with dynamic filtering.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Convergence Speed of a Dynamical System for Sparse Recovery.
IEEE Trans. Signal Process., 2013

Evaluating the Generalization of the Hearing Aid Speech Quality Index (HASQI).
IEEE Trans. Speech Audio Process., 2013

Visual Nonclassical Receptive Field Effects Emerge from Sparse Coding in a Dynamical System.
PLoS Comput. Biol., 2013

Configurable hardware integrate and fire neurons for sparse approximation.
Neural Networks, 2013

Stable Manifold Embeddings With Structured Random Matrices.
IEEE J. Sel. Top. Signal Process., 2013

Speech understanding in noise provided by a simulated cochlear implant processor based on matching pursuit.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A novel binary mask estimator based on sparse approximation.
Proceedings of the IEEE International Conference on Acoustics, 2013

Dynamic filtering of sparse signals using reweighted ℓ1.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Convergence and Rate Analysis of Neural Networks for Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2012

A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems.
Neural Comput., 2012

Low Power Sparse Approximation on Reconfigurable Analog Hardware.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

The Restricted Isometry Property for Random Block Diagonal Matrices
CoRR, 2012

The Restricted Isometry Property for Echo State Networks with applications to sequence memory capacity.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Compressive LADAR in realistic environments.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Compressive ladar detector noise performance.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Stable Takens' Embeddings for Linear Dynamical Systems.
IEEE Trans. Signal Process., 2011

Concentration of Measure for Block Diagonal Matrices With Applications to Compressive Signal Processing.
IEEE Trans. Signal Process., 2011

Learning Sparse Codes for Hyperspectral Imagery.
IEEE J. Sel. Top. Signal Process., 2011

Robustness of the Hearing Aid Speech Quality Index (HASQI).
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

Estimation and dynamic updating of time-varying signals with sparse variations.
Proceedings of the IEEE International Conference on Acoustics, 2011

Stable manifold embeddings with operators satisfying the Restricted Isometry Property.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

The Restricted Isometry Property for block diagonal matrices.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Sparsity penalties in dynamical system estimation.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

2010
Concentration of measure for block diagonal measurement matrices.
Proceedings of the IEEE International Conference on Acoustics, 2010

Concentration of measure for block diagonal matrices with repeated blocks.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Stable Takens' Embedding for linear dynamical systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2008
Sparse Coding via Thresholding and Local Competition in Neural Circuits.
Neural Comput., 2008

Distributed processing in frames for sparse approximation.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Reconstruction of compressively sensed images via neurally plausible local competitive algorithms.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

2007
Power scheduling for wireless sensor and actuator networks.
Proceedings of the 6th International Conference on Information Processing in Sensor Networks, 2007

Locally Competitive Algorithms for Sparse Approximation.
Proceedings of the International Conference on Image Processing, 2007

2006
Analyzing the robustness of redundant population codes in sensory and feature extraction systems.
Neurocomputing, 2006

Feature-Based Information Processing with Selective Attention.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks.
Proceedings of the Distributed Computing in Sensor Systems, 2006

2005
Examining methods for estimating mutual information in spiking neural systems.
Neurocomputing, 2005

Analysis of noise reduction in redundant expansions under distributed processing requirements.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Measuring information transfer in the spike generator of crayfish sustaining fibers.
Biol. Cybern., 2004

To cooperate or not to cooperate: detection strategies in sensor networks.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Information processing during transient responses in the crayfish visual system.
Neurocomputing, 2003

1999
A Theoretical Framework for Electro-Acoustic Music.
Proceedings of the 1999 International Computer Music Conference, 1999


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