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David E. Carlson
David E. Carlson
Assistant Professor, Duke University
duke.edu의 이메일 확인됨 - 홈페이지
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Preconditioned stochastic gradient Langevin dynamics for deep neural networks
C Li, C Chen, D Carlson, L Carin
AAAI Conference on Artificial Intelligence, 2016
2462016
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
2292013
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
2082018
Learning deep sigmoid belief networks with data augmentation
Z Gan, R Henao, D Carlson, L Carin
Artificial Intelligence and Statistics, 268-276, 2015
1242015
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
1232018
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
1052018
Video Generation From Text
Y Li, MR Min, D Shen, D Carlson, L Carin
AAAI Conference on Artificial Intelligence, 2018
1032018
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
932016
Scalable Deep Poisson Factor Analysis for Topic Modeling
Z Gan, C Chen, R Henao, D Carlson, L Carin
ICML, 2015
932015
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
892019
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
792016
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
772015
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
Extracting relationships by multi-domain matching
Y Li, DE Carlson
Advances in Neural Information Processing Systems 31, 2018
572018
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
492017
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
462021
Stochastic spectral descent for restricted Boltzmann machines
D Carlson, V Cevher, L Carin
Artificial Intelligence and Statistics, 111-119, 2015
452015
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
442017
GP kernels for cross-spectrum analysis
KR Ulrich, DE Carlson, K Dzirasa, L Carin
Advances in neural information processing systems 28, 2015
412015
Continuing progress of spike sorting in the era of big data
D Carlson, L Carin
Current opinion in neurobiology 55, 90-96, 2019
402019
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