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Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics


Jun 07, 2022
Noga Mudrik, Yenho Chen, Eva Yezerets, Christopher J. Rozell, Adam S. Charles

* 25 pages, 15 figures 

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Variational Sparse Coding with Learned Thresholding


May 07, 2022
Kion Fallah, Christopher J. Rozell


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


Apr 04, 2021
Ayse S. Cakmak, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell, Omer T. Inan, Amit J. Shah, Gari D. Clifford


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Variational Autoencoder with Learned Latent Structure


Jun 18, 2020
Marissa C. Connor, Gregory H. Canal, Christopher J. Rozell


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Hierarchical Optimal Transport for Multimodal Distribution Alignment


Jun 27, 2019
John Lee, Max Dabagia, Eva L. Dyer, Christopher J. Rozell


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Active embedding search via noisy paired comparisons


May 24, 2019
Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell

* ICML 2019 

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Active Embedding Search via Noisy Paired Comparisons


May 10, 2019
Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell


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Short Term Memory Capacity in Networks via the Restricted Isometry Property


Mar 03, 2015
Adam S. Charles, Han Lun Yap, Christopher J. Rozell

* A.S. Charles, H.L. Yap, and C.J. Rozell. Short term network memory capacity via the restricted isometry property. Neural Computation, 26(6), June 2014 
* 50 pages, 5 figures 

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Analog Sparse Approximation with Applications to Compressed Sensing


Nov 17, 2011
Adam S. Charles, Pierre Garrigues, Christopher J. Rozell

* 19 pages, 9 figures, submitted manuscript 

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