Christopher J. Rozell

96 papers A* 2B 2C 3Misc 15Journal 51Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries. CoRR Belen Martin-Urcelay, Yoonsang Lee, Matthieu R. Bloch, Christopher J. Rozell
2026	J	`jnl`	Modeling Latent Dynamics of the Autonomic Nervous System in Response to Trauma Recall and Non-Invasive Vagus Nerve Stimulation. IEEE Trans. Biomed. Eng. Asim Hossain Gazi, Sungtae An, Jesus Antonio Sanchez-Perez, Michael Chan, Mohammad Nikbakht, David Jimmy Lin, Shlok Natarajan, Kyle A. Johnsen, J. Douglas Bremner, Jin-Oh Hahn, Omer T. Inan, Christopher J. Rozell
2025	J	`jnl`	Online Machine Teaching under Learner Uncertainty: Gradient Descent Learners of a Quadratic Loss. SIAM J. Math. Data Sci. Belen Martin-Urcelay, Christopher J. Rozell, Matthieu R. Bloch
2025	J	`jnl`	Self-Supervised Dynamical System Representations for Physiological Time-Series. CoRR Yenho Chen, Maxwell A. Xu, James M. Rehg, Christopher J. Rozell
2024	J	`jnl`	Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics. J. Mach. Learn. Res. Noga Mudrik, Yenho Chen, Eva Yezerets, Christopher J. Rozell, Adam S. Charles
2024	—	`conf`	Enhancing Human-in-the-Loop Learning for Binary Sentiment Word Classification. CDC Belen Martin-Urcelay, Christopher J. Rozell, Matthieu R. Bloch
2024	J	`jnl`	Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics. CoRR Yenho Chen, Noga Mudrik, Kyle A. Johnsen, Sankaraleengam Alagapan, Adam S. Charles, Christopher J. Rozell
2024	C	`conf`	StressFADS: Learning Latent Autonomic Factors of Stress in the Context of Trauma Recall and Neuromodulation. BSN Asim Hossain Gazi, Michael Chan, Hao-Lun Hsu, J. Douglas Bremner, Christopher J. Rozell, Omer T. Inan
2023	—	`conf`	Leveraging Physiological Markers to Quantify the Transient Effects of Traumatic Stress and Non-Invasive Neuromodulation. EMBC 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
2023	J	`jnl`	Manifold Contrastive Learning with Variational Lie Group Operators. CoRR Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher J. Rozell
2023	C	`conf`	Physiological Markers Reveal Confounding Effects of Apprehension and Habituation During Stress Protocol. BSN 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
2023	J	`jnl`	PrefGen: Preference Guided Image Generation with Relative Attributes. CoRR Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah
2022	J	`jnl`	Constrained brain volume in an efficient coding model explains the fraction of excitatory and inhibitory neurons in sensory cortices. PLoS Comput. Biol. Arish Alreja, Ilya Nemenman, Christopher J. Rozell
2022	J	`jnl`	Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics. CoRR Noga Mudrik, Yenho Chen, Eva Yezerets, Christopher J. Rozell, Adam S. Charles
2022	—	`conf`	Transcutaneous Cervical Vagus Nerve Stimulation Reduces Respiratory Variability in the Context of Opioid Withdrawal. BHI Asim Hossain 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
2022	A*	`conf`	Variational Sparse Coding with Learned Thresholding. ICML Kion Fallah, Christopher J. Rozell
2022	J	`jnl`	Variational Sparse Coding with Learned Thresholding. CoRR Kion Fallah, Christopher J. Rozell
2021	J	`jnl`	Infrared Search and Track With Unbalanced Optimal Transport Dynamics Regularization. IEEE Geosci. Remote. Sens. Lett. Nicholas P. Bertrand, John Lee, Keith F. Prussing, Samuel A. Shapero, Christopher J. Rozell
2021	J	`jnl`	Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure. CoRR Ayse S. Cakmak, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell, Omer T. Inan, Amit J. Shah, Gari D. Clifford
2020	—	`conf`	A 17.8MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS. CICC Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher J. Rozell, Justin Romberg, Michael P. Flynn
2020	Misc	`conf`	Active Embedding Search via Noisy Paired Comparisons. ITA Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell
2020	J	`jnl`	Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer. IEEE Signal Process. Lett. Nicholas P. Bertrand, Adam S. Charles, John Lee, Pavel Dunn, Christopher J. Rozell
2020	J	`jnl`	Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals. IEEE Trans. Signal Process. Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell
2020	Misc	`conf`	The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model. ICASSP Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport
2020	J	`jnl`	Unbalanced Optimal Transport Regularization for Imaging Problems. IEEE Trans. Computational Imaging John Lee, Nicholas P. Bertrand, Christopher J. Rozell
2020	J	`jnl`	Variational Autoencoder with Learned Latent Structure. CoRR Marissa Connor, Gregory H. Canal, Christopher J. Rozell
2019	A*	`conf`	Active Embedding Search via Noisy Paired Comparisons. ICML Gregory Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell
2019	J	`jnl`	Active embedding search via noisy paired comparisons. CoRR Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell
2019	J	`jnl`	Active ordinal tuplewise querying for similarity learning. CoRR Gregory Canal, Stefano Fenu, Christopher J. Rozell
2019	—	`conf`	Dynamical System Implementations of Sparse Bayesian Learning. CAMSAP Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell
2019	J	`jnl`	Hierarchical Optimal Transport for Multimodal Distribution Alignment. CoRR John Lee, Max Dabagia, Eva L. Dyer, Christopher J. Rozell
2019	—	`conf`	Joint Estimation of Trajectory and Dynamics from Paired Comparisons. CAMSAP Gregory H. Canal, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport
2018	J	`jnl`	Cell Membrane Tracking in Living Brain Tissue Using Differential Interference Contrast Microscopy. IEEE Trans. Image Process. John Lee, Ilya Kolb, Craig R. Forest, Christopher J. Rozell
2018	—	`conf`	Interactive Object Segmentation with Noisy Binary Inputs. GlobalSIP Gregory Canal, Sivabalan Manivasagam, Shaoheng Liang, Christopher J. Rozell
2018	J	`jnl`	Matched Filtering for Heart Rate Estimation on Compressive Sensing ECG Measurements. IEEE Trans. Biomed. Eng. Giulia Da Poian, Christopher J. Rozell, Riccardo Bernardini, Roberto Rinaldo, Gari D. Clifford
2018	Misc	`conf`	Sparse Dynamic Filtering via Earth Mover's Distance Regularization. ICASSP Nicholas P. Bertrand, John Lee, Adam S. Charles, Pavel Dunn, Christopher J. Rozell
2017	J	`jnl`	Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks. J. Mach. Learn. Res. Adam S. Charles, Dong Yin, Christopher J. Rozell
2017	—	`conf`	Earth-Mover's distance as a tracking regularizer. CAMSAP Adam S. Charles, Nicholas P. Bertrand, John Lee, Christopher J. Rozell
2017	—	`conf`	Fast ADMM solver for reweighted total variation image deconvolution and inpainting. GlobalSIP John Lee, Christopher J. Rozell
2017	Misc	`conf`	Precision cell boundary tracking on DIC microscopy video for patch clamping. ICASSP John Lee, Christopher J. Rozell
2017	C	`conf`	Rank Learning by Ordinal Gerrymandering. ICMLA Stefano Fenu, Christopher J. Rozell
2016	J	`jnl`	Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks. CoRR Adam S. Charles, Dong Yin, Christopher J. Rozell
2016	J	`jnl`	Dynamic Filtering of Time-Varying Sparse Signals via ℓ IEEE Trans. Signal Process. Adam S. Charles, Aurele Balavoine, Christopher J. Rozell
2015	J	`jnl`	Discrete and Continuous-Time Soft-Thresholding for Dynamic Signal Recovery. IEEE Trans. Signal Process. Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
2015	J	`jnl`	Modeling Inhibitory Interneurons in Efficient Sensory Coding Models. PLoS Comput. Biol. Mengchen Zhu, Christopher J. Rozell
2014	—	`conf`	A first analysis of the stability of Takens' embedding. GlobalSIP Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell
2014	—	`conf`	Can random linear networks store multiple long input streams? GlobalSIP Adam S. Charles, Dong Yin, Christopher J. Rozell
2014	—	`conf`	Convergence of basis pursuit de-noising with dynamic filtering. GlobalSIP Adam S. Charles, Christopher J. Rozell
2014	J	`jnl`	Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation". IEEE Trans. Neural Networks Learn. Syst. Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell
2014	Misc	`conf`	Iterative soft-thresholding for time-varying signal recovery. ICASSP Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
2014	J	`jnl`	Optimal Sparse Approximation with Integrate and Fire Neurons. Int. J. Neural Syst. Samuel A. Shapero, Mengchen Zhu, Jennifer Hasler, Christopher J. Rozell
2014	J	`jnl`	Short-Term Memory Capacity in Networks via the Restricted Isometry Property. Neural Comput. Adam S. Charles, Han Lun Yap, Christopher J. Rozell
2014	J	`jnl`	Spectral Superresolution of Hyperspectral Imagery Using Reweighted ℓ IEEE Geosci. Remote. Sens. Lett. Adam S. Charles, Christopher J. Rozell
2013	Misc	`conf`	A novel binary mask estimator based on sparse approximation. ICASSP Abigail A. Kressner, David V. Anderson, Christopher J. Rozell
2013	J	`jnl`	Configurable hardware integrate and fire neurons for sparse approximation. Neural Networks Samuel A. Shapero, Christopher J. Rozell, Paul E. Hasler
2013	J	`jnl`	Convergence Speed of a Dynamical System for Sparse Recovery. IEEE Trans. Signal Process. Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
2013	B	`conf`	Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality. IJCNN Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
2013	Misc	`conf`	Dynamic filtering of sparse signals using reweighted ℓ1. ICASSP Adam S. Charles, Christopher J. Rozell
2013	J	`jnl`	Evaluating the Generalization of the Hearing Aid Speech Quality Index (HASQI). IEEE Trans. Speech Audio Process. Abigail A. Kressner, David V. Anderson, Christopher J. Rozell
2013	J	`jnl`	Short Term Memory Capacity in Networks via the Restricted Isometry Property. CoRR Adam S. Charles, Han Lun Yap, Christopher J. Rozell
2013	—	`conf`	Speech understanding in noise provided by a simulated cochlear implant processor based on matching pursuit. WASPAA Abigail A. Kressner, Christopher J. Rozell
2013	J	`jnl`	Stable Manifold Embeddings With Structured Random Matrices. IEEE J. Sel. Top. Signal Process. Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
2013	J	`jnl`	Visual Nonclassical Receptive Field Effects Emerge from Sparse Coding in a Dynamical System. PLoS Comput. Biol. Mengchen Zhu, Christopher J. Rozell
2012	J	`jnl`	A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems. Neural Comput. Adam S. Charles, Pierre Garrigues, Christopher J. Rozell
2012	—	`conf`	Compressive LADAR in realistic environments. SSP Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman
2012	—	`conf`	Compressive ladar detector noise performance. ACSCC Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman
2012	J	`jnl`	Convergence and Rate Analysis of Neural Networks for Sparse Approximation. IEEE Trans. Neural Networks Learn. Syst. Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell
2012	J	`jnl`	Low Power Sparse Approximation on Reconfigurable Analog Hardware. IEEE J. Emerg. Sel. Topics Circuits Syst. Samuel A. Shapero, Adam S. Charles, Christopher J. Rozell, Paul E. Hasler
2012	J	`jnl`	Stable Manifold Embeddings with Structured Random Matrices CoRR Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
2012	—	`conf`	The Restricted Isometry Property for Echo State Networks with applications to sequence memory capacity. SSP Han Lun Yap, Adam S. Charles, Christopher J. Rozell
2012	J	`jnl`	The Restricted Isometry Property for Random Block Diagonal Matrices CoRR Armin Eftekhari, Han Lun Yap, Christopher J. Rozell, Michael B. Wakin
2011	J	`jnl`	Concentration of Measure for Block Diagonal Matrices With Applications to Compressive Signal Processing. IEEE Trans. Signal Process. Jae Young Park, Han Lun Yap, Christopher J. Rozell, Michael B. Wakin
2011	Misc	`conf`	Estimation and dynamic updating of time-varying signals with sparse variations. ICASSP Muhammad Salman Asif, Adam S. Charles, Justin K. Romberg, Christopher J. Rozell
2011	J	`jnl`	Learning Sparse Codes for Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. Adam S. Charles, Bruno A. Olshausen, Christopher J. Rozell
2011	—	`conf`	Robustness of the Hearing Aid Speech Quality Index (HASQI). WASPAA Abigail A. Kressner, David V. Anderson, Christopher J. Rozell
2011	Misc	`conf`	Sparsity penalties in dynamical system estimation. CISS Adam S. Charles, Muhammad Salman Asif, Justin K. Romberg, Christopher J. Rozell
2011	J	`jnl`	Stable Takens' Embeddings for Linear Dynamical Systems. IEEE Trans. Signal Process. Han Lun Yap, Christopher J. Rozell
2011	Misc	`conf`	Stable manifold embeddings with operators satisfying the Restricted Isometry Property. CISS Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
2011	Misc	`conf`	The Restricted Isometry Property for block diagonal matrices. CISS Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell
2010	Misc	`conf`	Concentration of measure for block diagonal matrices with repeated blocks. CISS Christopher J. Rozell, Han Lun Yap, Jae Young Park, Michael B. Wakin
2010	Misc	`conf`	Concentration of measure for block diagonal measurement matrices. ICASSP Michael B. Wakin, Jae Young Park, Han Lun Yap, Christopher J. Rozell
2010	—	`conf`	Stable Takens' Embedding for linear dynamical systems. CDC Han Lun Yap, Christopher J. Rozell
2010	J	`jnl`	Stable Takens' Embeddings for Linear Dynamical Systems CoRR Han Lun Yap, Christopher J. Rozell
2008	Misc	`conf`	Distributed processing in frames for sparse approximation. CISS Christopher J. Rozell
2008	Misc	`conf`	Reconstruction of compressively sensed images via neurally plausible local competitive algorithms. CISS Robert L. Ortman, Christopher J. Rozell, Don H. Johnson
2008	J	`jnl`	Sparse Coding via Thresholding and Local Competition in Neural Circuits. Neural Comput. Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen
2007	—	`conf`	Locally Competitive Algorithms for Sparse Approximation. ICIP (4) Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen
2007	—	`conf`	Power scheduling for wireless sensor and actuator networks. IPSN Christopher J. Rozell, Don H. Johnson
2006	J	`jnl`	Analyzing the robustness of redundant population codes in sensory and feature extraction systems. Neurocomputing Christopher J. Rozell, Don H. Johnson
2006	B	`conf`	Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks. DCOSS Christopher J. Rozell, Don H. Johnson
2006	—	`conf`	Feature-Based Information Processing with Selective Attention. ICASSP (4) Christopher J. Rozell, Ilan N. Goodman, Don H. Johnson
2005	—	`conf`	Analysis of noise reduction in redundant expansions under distributed processing requirements. ICASSP (4) Christopher J. Rozell, Don H. Johnson
2005	J	`jnl`	Examining methods for estimating mutual information in spiking neural systems. Neurocomputing Christopher J. Rozell, Don H. Johnson
2004	J	`jnl`	Measuring information transfer in the spike generator of crayfish sustaining fibers. Biol. Cybern. Christopher J. Rozell, Don H. Johnson, Raymon M. Glantz
2004	—	`conf`	To cooperate or not to cooperate: detection strategies in sensor networks. ICASSP (3) Michael A. Lexa, Christopher J. Rozell, Sinan Sinanovic, Don H. Johnson
2003	J	`jnl`	Information processing during transient responses in the crayfish visual system. Neurocomputing Christopher J. Rozell, Don H. Johnson, Raymon M. Glantz