Publications

Found 90 results
Type [ Year(Desc)]
0
P Cheng, Y Li, X Zhang, L Chen, D Carlson, and L Carin. "Dynamic Embedding on Textual Networks via a Gaussian Process.".
T Zheng, MH Bergin, R Sutaria, SN Tripathi, R Caldow, and DE Carlson. "Gaussian Process regression model for dynamically calibrating a wireless low-cost particulate matter sensor network in Delhi.".
DE Carlson, JT Vogelstein, Q Wu, W Lian, M Zhou, CR Stoetzner, D Kipke, D Weber, DB Dunson, and L Carin. "Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning & Mixture Modeling.".
2011
B Chen, DE Carlson, and L Carin. "On the analysis of multi-channel neural spike data." In Advances in Neural Information Processing Systems, 936-944. 2011.
M Chen, D Carlson, A Zaas, CW Woods, GS Ginsburg, A Hero, J Lucas, and L Carin. "Detection of viruses via statistical gene expression analysis." IEEE Trans Biomed Eng 58, no. 3 (2011): 468-479.
2012
Q Wu, D Carlson, W Lian, M Zhou, CR Stoetzner, D Kipke, D Weber, JT Vogelstein, D Dunson, and L Carin. "Sorting Electrophysiological Data via Dictionary Learning & Mixture Modeling." IEEE TBME (2012).
2013
L Wang, DE Carlson, M Rodrigues, D Wilcox, R Calderbank, and L Carin. "Designed measurements for vector count data." Advances in neural information processing systems (2013): 1142-1150.
DE Carlson, JT Vogelstein, Q Wu, W Lian, M Zhou, CR Stoetzner, D Kipke, D Weber, DB Dunson, and L Carin. "Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling." IEEE Transactions on Biomedical Engineering 61 (2013): 41-54.
DE Carlson, V Rao, JT Vogelstein, and L Carin. "Real-time inference for a gamma process model of neural spiking." Advances in Neural Information Processing Systems (2013): 2805-2813.
L Karumbaiah, T Saxena, D Carlson, K Patil, R Patkar, EA Gaupp, M Betancur, GB Stanley, L Carin, and RV Bellamkonda. "Relationship between intracortical electrode design and chronic recording function." Biomaterials 34 (2013): 8061-8074.
L Karumbaiah, T Saxena, D Carlson, K Patil, R Patkar, EA Gaupp, M Betancur, GB Stanley, L Carin, and RV Bellamkonda. "Relationship between intracortical electrode design and chronic recording function." Biomaterials 34, no. 33 (2013): 8061-8074.
2014
K Ulrich, DE Carlson, W Lian, JS Borg, K Dzirasa, and L Carin. "Analysis of Brain States from Multi-Region LFP Time-Series." In Advances in Neural Information Processing Systems, 2483-2491. 2014.
L Wang, DE Carlson, MRD Rodrigues, R Calderbank, and L Carin. "A Bregman matrix and the gradient of mutual information for vector Poisson and Gaussian channels." IEEE Transactions on Information Theory 60 (2014): 2611-2629.
C Hu, E Ryu, D Carlson, Y Wang, and L Carin. "Latent Gaussian models for topic modeling." In Artificial Intelligence and Statistics, 393-401. 2014.
DE Carlson, JT Vogelstein,,,, CR Stoetzner, D Kipke, D Weber, DB Dunson, and L Carin. "Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling." Ieee Transactions on Bio Medical Engineering 61, no. 1 (2014): 41-54.
DE Carlson, JS Borg, K Dzirasa, and L Carin. "On the relations of LFPs & Neural Spike Trains." In NIPS, 2060-2068. 2014.
DE Carlson, JS Borg, K Dzirasa, and L Carin. "On the relationship between LFP & spiking data." In Advances in Neural Information Processing Systems, 2060-2068. Vol. 3. 2014.
DE Carlson, JS Borg, K Dzirasa, and L Carin. "On the Relationship Between LFP & Spiking Data." In Advances in Neural Information Processing Systems. 2014.
2015
Z Gan, C Li, R Henao, DE Carlson, and L Carin. "Deep temporal sigmoid belief networks for sequence modeling." Advances in Neural Information Processing Systems (2015): 2467-2475.
Z Gan, C Li, R Henao, DE Carlson, and L Carin. "Deep Temporal Sigmoid Belief Networks for Sequence Modeling." In NIPS, 2467-2475. 2015.
KR Ulrich, DE Carlson, K Dzirasa, and L Carin. "GP kernels for cross-spectrum analysis." In Advances in neural information processing systems, 1999-2007. 2015.
Z Gan, R Henao, D Carlson, and L Carin. "Learning deep sigmoid belief networks with data augmentation." In Artificial Intelligence and Statistics, 268-276. 2015.
DE Carlson, E Collins, Y-P Hsieh, L Carin, and V Cevher. "Preconditioned spectral descent for deep learning." In Advances in Neural Information Processing Systems, 2971-2979. 2015.
Z Gan, C Chen, R Henao, D Carlson, and L Carin. "Scalable Deep Poisson Factor Analysis for Topic Modeling." In ICML, 1823-1832. 2015.
D Carlson. Stochastic Inference and Bayesian Nonparametric Models in Electrophysiological Time Series., 2015.

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