Christopher J. Rozell

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 37

Top Topics

Compressive Sensing

Image Deconvolution

Sparse Bayesian Learning

Top Venues

Publications

Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah
PrefGen: Preference Guided Image Generation with Relative Attributes. CoRR (2023)
Asim Hossain Gazi, Jesus Antonio Sanchez-Perez, Michael Chan, Mohammad Nikbakht, David Jimmy Lin, Shlok Natarajan, J. Douglas Bremner, Jin-Oh Hahn, Omer T. Inan, Christopher J. Rozell
Physiological Markers Reveal Confounding Effects of Apprehension and Habituation During Stress Protocol. BSN (2023)
Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher J. Rozell
Manifold Contrastive Learning with Variational Lie Group Operators. CoRR (2023)
Asim Hossain Gazi, Jesus Antonio Sanchez-Perez, Shlok Natarajan, Michael Chan, Mohammad Nikbakht, David Jimmy Lin, J. Douglas Bremner, Jin-Oh Hahn, Omer T. Inan, Christopher J. Rozell
Leveraging Physiological Markers to Quantify the Transient Effects of Traumatic Stress and Non-Invasive Neuromodulation. EMBC (2023)
Kion Fallah, Christopher J. Rozell
Variational Sparse Coding with Learned Thresholding. ICML (2022)
Kion Fallah, Christopher J. Rozell
Variational Sparse Coding with Learned Thresholding. CoRR (2022)
Arish Alreja, Ilya Nemenman, Christopher J. Rozell
Constrained brain volume in an efficient coding model explains the fraction of excitatory and inhibitory neurons in sensory cortices. PLoS Comput. Biol. 18 (1) (2022)
Asim H. Gazi, Anna B. Harrison, Tamara P. Lambert, Malik Obideen, Justine W. Welsh, Viola Vaccarino, Amit J. Shah, Sudie E. Back, Christopher J. Rozell, J. Douglas Bremner, Omer T. Inan
Transcutaneous Cervical Vagus Nerve Stimulation Reduces Respiratory Variability in the Context of Opioid Withdrawal. BHI (2022)
Noga Mudrik, Yenho Chen, Eva Yezerets, Christopher J. Rozell, Adam S. Charles
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics. CoRR (2022)
Ayse S. Cakmak, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell, Omer T. Inan, Amit J. Shah, Gari D. Clifford
Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure. CoRR (2021)
Nicholas P. Bertrand, John Lee, Keith F. Prussing, Samuel A. Shapero, Christopher J. Rozell
Infrared Search and Track With Unbalanced Optimal Transport Dynamics Regularization. IEEE Geosci. Remote. Sens. Lett. 18 (12) (2021)
Marissa Connor, Gregory H. Canal, Christopher J. Rozell
Variational Autoencoder with Learned Latent Structure. CoRR (2020)
Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher J. Rozell, Justin Romberg, Michael P. Flynn
A 17.8MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS. CICC (2020)
Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell
Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals. IEEE Trans. Signal Process. 68 (2020)
Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell
Active Embedding Search via Noisy Paired Comparisons. ITA (2020)
Nicholas P. Bertrand, Adam S. Charles, John Lee, Pavel Dunn, Christopher J. Rozell
Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer. IEEE Signal Process. Lett. 27 (2020)
John Lee, Nicholas P. Bertrand, Christopher J. Rozell
Unbalanced Optimal Transport Regularization for Imaging Problems. IEEE Trans. Computational Imaging 6 (2020)
Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport
The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model. ICASSP (2020)
Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell
Active embedding search via noisy paired comparisons. CoRR (2019)
John Lee, Max Dabagia, Eva L. Dyer, Christopher J. Rozell
Hierarchical Optimal Transport for Multimodal Distribution Alignment. CoRR (2019)
Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell
Dynamical System Implementations of Sparse Bayesian Learning. CAMSAP (2019)
Gregory H. Canal, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport
Joint Estimation of Trajectory and Dynamics from Paired Comparisons. CAMSAP (2019)
Gregory Canal, Stefano Fenu, Christopher J. Rozell
Active ordinal tuplewise querying for similarity learning. CoRR (2019)
Gregory Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell
Active Embedding Search via Noisy Paired Comparisons. ICML (2019)
Nicholas P. Bertrand, John Lee, Adam S. Charles, Pavel Dunn, Christopher J. Rozell
Sparse Dynamic Filtering via Earth Mover's Distance Regularization. ICASSP (2018)
John Lee, Ilya Kolb, Craig R. Forest, Christopher J. Rozell
Cell Membrane Tracking in Living Brain Tissue Using Differential Interference Contrast Microscopy. IEEE Trans. Image Process. 27 (4) (2018)
Gregory Canal, Sivabalan Manivasagam, Shaoheng Liang, Christopher J. Rozell
Interactive Object Segmentation with Noisy Binary Inputs. GlobalSIP (2018)
Giulia Da Poian, Christopher J. Rozell, Riccardo Bernardini, Roberto Rinaldo, Gari D. Clifford
Matched Filtering for Heart Rate Estimation on Compressive Sensing ECG Measurements. IEEE Trans. Biomed. Eng. 65 (6) (2018)
John Lee, Christopher J. Rozell
Fast ADMM solver for reweighted total variation image deconvolution and inpainting. GlobalSIP (2017)
Adam S. Charles, Dong Yin, Christopher J. Rozell
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks. J. Mach. Learn. Res. 18 (2017)
Stefano Fenu, Christopher J. Rozell
Rank Learning by Ordinal Gerrymandering. ICMLA (2017)
John Lee, Christopher J. Rozell
Precision cell boundary tracking on DIC microscopy video for patch clamping. ICASSP (2017)
Adam S. Charles, Nicholas P. Bertrand, John Lee, Christopher J. Rozell
Earth-Mover's distance as a tracking regularizer. CAMSAP (2017)
Adam S. Charles, Dong Yin, Christopher J. Rozell
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks. CoRR (2016)
Adam S. Charles, Aurele Balavoine, Christopher J. Rozell
Minimization. IEEE Trans. Signal Process. 64 (21) (2016)
Mengchen Zhu, Christopher J. Rozell
Modeling Inhibitory Interneurons in Efficient Sensory Coding Models. PLoS Comput. Biol. 11 (7) (2015)
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
Discrete and Continuous-Time Soft-Thresholding for Dynamic Signal Recovery. IEEE Trans. Signal Process. 63 (12) (2015)
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
Iterative soft-thresholding for time-varying signal recovery. ICASSP (2014)
Samuel A. Shapero, Mengchen Zhu, Jennifer Hasler, Christopher J. Rozell
Optimal Sparse Approximation with Integrate and Fire Neurons. Int. J. Neural Syst. 24 (5) (2014)
Adam S. Charles, Han Lun Yap, Christopher J. Rozell
Short-Term Memory Capacity in Networks via the Restricted Isometry Property. Neural Comput. 26 (6) (2014)
Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell
Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation". IEEE Trans. Neural Networks Learn. Syst. 25 (8) (2014)
Adam S. Charles, Christopher J. Rozell
Convergence of basis pursuit de-noising with dynamic filtering. GlobalSIP (2014)
Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell
A first analysis of the stability of Takens' embedding. GlobalSIP (2014)
Adam S. Charles, Dong Yin, Christopher J. Rozell
Can random linear networks store multiple long input streams? GlobalSIP (2014)
Adam S. Charles, Christopher J. Rozell
Spatial Filtering. IEEE Geosci. Remote. Sens. Lett. 11 (3) (2014)
Abigail A. Kressner, David V. Anderson, Christopher J. Rozell
A novel binary mask estimator based on sparse approximation. ICASSP (2013)
Adam S. Charles, Han Lun Yap, Christopher J. Rozell
Short Term Memory Capacity in Networks via the Restricted Isometry Property. CoRR (2013)
Mengchen Zhu, Christopher J. Rozell
Visual Nonclassical Receptive Field Effects Emerge from Sparse Coding in a Dynamical System. PLoS Comput. Biol. 9 (8) (2013)
Abigail A. Kressner, Christopher J. Rozell
Speech understanding in noise provided by a simulated cochlear implant processor based on matching pursuit. WASPAA (2013)
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
Convergence Speed of a Dynamical System for Sparse Recovery. IEEE Trans. Signal Process. 61 (17) (2013)
Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
Stable Manifold Embeddings With Structured Random Matrices. IEEE J. Sel. Top. Signal Process. 7 (4) (2013)
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality. IJCNN (2013)
Samuel A. Shapero, Christopher J. Rozell, Paul E. Hasler
Configurable hardware integrate and fire neurons for sparse approximation. Neural Networks 45 (2013)
Adam S. Charles, Christopher J. Rozell
Dynamic filtering of sparse signals using reweighted ℓ1. ICASSP (2013)
Abigail A. Kressner, David V. Anderson, Christopher J. Rozell
Evaluating the Generalization of the Hearing Aid Speech Quality Index (HASQI). IEEE Trans. Speech Audio Process. 21 (2) (2013)
Adam S. Charles, Pierre Garrigues, Christopher J. Rozell
A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems. Neural Comput. 24 (12) (2012)
Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman
Compressive ladar detector noise performance. ACSCC (2012)
Samuel A. Shapero, Adam S. Charles, Christopher J. Rozell, Paul E. Hasler
Low Power Sparse Approximation on Reconfigurable Analog Hardware. IEEE J. Emerg. Sel. Topics Circuits Syst. 2 (3) (2012)
Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell
Convergence and Rate Analysis of Neural Networks for Sparse Approximation. IEEE Trans. Neural Networks Learn. Syst. 23 (9) (2012)
Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman
Compressive LADAR in realistic environments. SSP (2012)
Han Lun Yap, Adam S. Charles, Christopher J. Rozell
The Restricted Isometry Property for Echo State Networks with applications to sequence memory capacity. SSP (2012)
Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
Stable Manifold Embeddings with Structured Random Matrices CoRR (2012)
Armin Eftekhari, Han Lun Yap, Christopher J. Rozell, Michael B. Wakin
The Restricted Isometry Property for Random Block Diagonal Matrices CoRR (2012)
Abigail A. Kressner, David V. Anderson, Christopher J. Rozell
Robustness of the Hearing Aid Speech Quality Index (HASQI). WASPAA (2011)
Jae Young Park, Han Lun Yap, Christopher J. Rozell, Michael B. Wakin
Concentration of Measure for Block Diagonal Matrices With Applications to Compressive Signal Processing. IEEE Trans. Signal Process. 59 (12) (2011)
Adam S. Charles, Muhammad Salman Asif, Justin K. Romberg, Christopher J. Rozell
Sparsity penalties in dynamical system estimation. CISS (2011)
Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell
The Restricted Isometry Property for block diagonal matrices. CISS (2011)
Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
Stable manifold embeddings with operators satisfying the Restricted Isometry Property. CISS (2011)
Adam S. Charles, Bruno A. Olshausen, Christopher J. Rozell
Learning Sparse Codes for Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 5 (5) (2011)
Han Lun Yap, Christopher J. Rozell
Stable Takens' Embeddings for Linear Dynamical Systems. IEEE Trans. Signal Process. 59 (10) (2011)
Muhammad Salman Asif, Adam S. Charles, Justin K. Romberg, Christopher J. Rozell
Estimation and dynamic updating of time-varying signals with sparse variations. ICASSP (2011)
Michael B. Wakin, Jae Young Park, Han Lun Yap, Christopher J. Rozell
Concentration of measure for block diagonal measurement matrices. ICASSP (2010)
Han Lun Yap, Christopher J. Rozell
Stable Takens' Embeddings for Linear Dynamical Systems CoRR (2010)
Christopher J. Rozell, Han Lun Yap, Jae Young Park, Michael B. Wakin
Concentration of measure for block diagonal matrices with repeated blocks. CISS (2010)
Han Lun Yap, Christopher J. Rozell
Stable Takens' Embedding for linear dynamical systems. CDC (2010)
Robert L. Ortman, Christopher J. Rozell, Don H. Johnson
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms. CISS (2008)
Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen
Sparse Coding via Thresholding and Local Competition in Neural Circuits. Neural Comput. 20 (10) (2008)
Christopher J. Rozell
Distributed processing in frames for sparse approximation. CISS (2008)
Christopher J. Rozell, Don H. Johnson
Power scheduling for wireless sensor and actuator networks. IPSN (2007)
Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen
Locally Competitive Algorithms for Sparse Approximation. ICIP (4) (2007)
Christopher J. Rozell, Don H. Johnson
Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks. DCOSS (2006)
Christopher J. Rozell, Ilan N. Goodman, Don H. Johnson
Feature-Based Information Processing with Selective Attention. ICASSP (4) (2006)
Christopher J. Rozell, Don H. Johnson
Analyzing the robustness of redundant population codes in sensory and feature extraction systems. Neurocomputing 69 (10-12) (2006)
Christopher J. Rozell, Don H. Johnson
Examining methods for estimating mutual information in spiking neural systems. Neurocomputing (2005)
Christopher J. Rozell, Don H. Johnson
Analysis of noise reduction in redundant expansions under distributed processing requirements. ICASSP (4) (2005)
Michael A. Lexa, Christopher J. Rozell, Sinan Sinanovic, Don H. Johnson
To cooperate or not to cooperate: detection strategies in sensor networks. ICASSP (3) (2004)
Christopher J. Rozell, Don H. Johnson, Raymon M. Glantz
Measuring information transfer in the spike generator of crayfish sustaining fibers. Biol. Cybern. 90 (2) (2004)
Christopher J. Rozell, Don H. Johnson, Raymon M. Glantz
Information processing during transient responses in the crayfish visual system. Neurocomputing (2003)