Preconditioned stochastic gradient Langevin dynamics for deep neural networks C Li, C Chen, D Carlson, L Carin AAAI Conference on Artificial Intelligence, 2016 | 393 | 2016 |
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 | 349 | 2018 |
Video Generation From Text Y Li, MR Min, D Shen, D Carlson, L Carin AAAI Conference on Artificial Intelligence, 2018 | 287 | 2018 |
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 | 274 | 2013 |
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 | 235 | 2019 |
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 | 211 | 2018 |
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 | 188 | 2018 |
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 | 166 | 2021 |
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 | 134 | 2016 |
Learning deep sigmoid belief networks with data augmentation Z Gan, R Henao, D Carlson, L Carin Artificial Intelligence and Statistics, 268-276, 2015 | 133 | 2015 |
Extracting relationships by multi-domain matching Y Li, DE Carlson Advances in neural information processing systems 31, 2018 | 121 | 2018 |
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 | 113 | 2016 |
Scalable Deep Poisson Factor Analysis for Topic Modeling Z Gan, C Chen, R Henao, D Carlson, L Carin ICML, 2015 | 109 | 2015 |
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 | 97 | 2015 |
Bit-oriented data link control procedures D Carlson IEEE Transactions on Communications 28 (4), 455-467, 1980 | 87 | 1980 |
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 | 77 | 2017 |
Continuing progress of spike sorting in the era of big data D Carlson, L Carin Current opinion in neurobiology 55, 90-96, 2019 | 76 | 2019 |
Prenatal environmental stressors impair postnatal microglia function and adult behavior in males CL Block, O Eroglu, SD Mague, CJ Smith, AM Ceasrine, C Sriworarat, ... Cell reports 40 (5), 2022 | 67 | 2022 |
GP kernels for cross-spectrum analysis KR Ulrich, DE Carlson, K Dzirasa, L Carin Advances in neural information processing systems 28, 2015 | 66 | 2015 |
Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach T Zheng, MH Bergin, S Hu, J Miller, DE Carlson Atmospheric Environment 230, 117451, 2020 | 64 | 2020 |