| Preconditioned stochastic gradient Langevin dynamics for deep neural networks C Li, C Chen, D Carlson, L Carin AAAI Conference on Artificial Intelligence, 2016 | 293 | 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 | 249 | 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 | 244 | 2013 |
| 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 | 151 | 2018 |
| Video Generation From Text Y Li, MR Min, D Shen, D Carlson, L Carin AAAI Conference on Artificial Intelligence, 2018 | 133 | 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 | 131 | 2018 |
| 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 | 129 | 2019 |
| Learning deep sigmoid belief networks with data augmentation Z Gan, R Henao, D Carlson, L Carin Artificial Intelligence and Statistics, 268-276, 2015 | 126 | 2015 |
| 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 | 105 | 2016 |
| Scalable Deep Poisson Factor Analysis for Topic Modeling Z Gan, C Chen, R Henao, D Carlson, L Carin ICML, 2015 | 100 | 2015 |
| 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 | 88 | 2016 |
| 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 | 81 | 2015 |
| Extracting relationships by multi-domain matching Y Li, DE Carlson Advances in Neural Information Processing Systems 31, 2018 | 80 | 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 | 74 | 2021 |
| 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 | 60 | 2017 |
| 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 | 59 | 2013 |
| Continuing progress of spike sorting in the era of big data D Carlson, L Carin Current opinion in neurobiology 55, 90-96, 2019 | 51 | 2019 |
| GP kernels for cross-spectrum analysis KR Ulrich, DE Carlson, K Dzirasa, L Carin Advances in neural information processing systems 28, 2015 | 49 | 2015 |
| 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 | 48 | 2017 |
| Stochastic spectral descent for restricted Boltzmann machines D Carlson, V Cevher, L Carin Artificial Intelligence and Statistics, 111-119, 2015 | 48 | 2015 |
