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David E. Carlson
David E. Carlson
Assistant Professor, Duke University
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
Preconditioned stochastic gradient Langevin dynamics for deep neural networks
C Li, C Chen, D Carlson, L Carin
AAAI Conference on Artificial Intelligence, 2016
2702016
Relationship between intracortical electrode design and chronic recording function
L Karumbaiah, T Saxena, D Carlson, K Patil, R Patkar, EA Gaupp, ...
Biomaterials 34 (33), 8061-8074, 2013
2382013
Field evaluation of low-cost particulate matter sensors in high and low concentration environments
T Zheng, MH Bergin, KK Johnson, SN Tripathi, S Shirodkar, MS Landis, ...
Atmospheric Measurement Techniques, 2018
2252018
A shared vision for machine learning in neuroscience
MAT Vu, T Adalı, D Ba, G Buzsáki, D Carlson, K Heller, C Liston, C Rudin, ...
Journal of Neuroscience 38 (7), 1601-1607, 2018
1402018
Learning deep sigmoid belief networks with data augmentation
Z Gan, R Henao, D Carlson, L Carin
Artificial Intelligence and Statistics, 268-276, 2015
1262015
Brain-wide electrical spatiotemporal dynamics encode depression vulnerability
R Hultman, K Ulrich, BD Sachs, C Blount, DE Carlson, N Ndubuizu, ...
Cell 173 (1), 166-180. e14, 2018
1252018
Video Generation From Text
Y Li, MR Min, D Shen, D Carlson, L Carin
AAAI Conference on Artificial Intelligence, 2018
1242018
Storygan: A sequential conditional gan for story visualization
Y Li, Z Gan, Y Shen, J Liu, Y Cheng, Y Wu, L Carin, D Carlson, J Gao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1092019
Dysregulation of prefrontal cortex-mediated slow-evolving limbic dynamics drives stress-induced emotional pathology
R Hultman, SD Mague, Q Li, BM Katz, N Michel, L Lin, J Wang, LK David, ...
Neuron 91 (2), 439-452, 2016
1002016
Scalable Deep Poisson Factor Analysis for Topic Modeling
Z Gan, C Chen, R Henao, D Carlson, L Carin
ICML, 2015
972015
Bridging the gap between stochastic gradient MCMC and stochastic optimization
C Chen, D Carlson, Z Gan, C Li, L Carin
Artificial Intelligence and Statistics, 1051-1060, 2016
832016
Deep temporal sigmoid belief networks for sequence modeling
Z Gan, C Li, R Henao, DE Carlson, L Carin
Advances in Neural Information Processing Systems 28, 2015
802015
Geometric deep learning enables 3D kinematic profiling across species and environments
TW Dunn, JD Marshall, KS Severson, DE Aldarondo, DGC Hildebrand, ...
Nature methods 18 (5), 564-573, 2021
652021
Extracting relationships by multi-domain matching
Y Li, DE Carlson
Advances in Neural Information Processing Systems 31, 2018
612018
Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling
DE Carlson, JT Vogelstein, Q Wu, W Lian, M Zhou, CR Stoetzner, D Kipke, ...
IEEE Transactions on Biomedical Engineering 61 (1), 41-54, 2013
592013
Targeting EEG/LFP Synchrony with Neural Nets
Y Li, M Murias, S Major, G Dawson, K Dzirasa, L Carin, DE Carlson
Advances in Neural Information Processing Systems, 2017
532017
YASS: Yet Another Spike Sorter
JH Lee, D Carlson, H Shokri, W Yao, G Goetz, E Hagen, E Batty, ...
Advances in Neural Information Processing Systems, 2017
472017
Stochastic spectral descent for restricted Boltzmann machines
D Carlson, V Cevher, L Carin
Artificial Intelligence and Statistics, 111-119, 2015
462015
Continuing progress of spike sorting in the era of big data
D Carlson, L Carin
Current opinion in neurobiology 55, 90-96, 2019
442019
GP kernels for cross-spectrum analysis
KR Ulrich, DE Carlson, K Dzirasa, L Carin
Advances in neural information processing systems 28, 2015
442015
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