| Decomposed linear dynamical systems (dlds) for learning the latent components of neural dynamics N Mudrik, Y Chen, E Yezerets, CJ Rozell, AS Charles Journal of Machine Learning Research 25 (59), 1-44, 2024 | 8 | 2024 |
| Creimbo: Cross ensemble interactions in multi-view brain observations N Mudrik, R Ly, O Ruebel, AS Charles arXiv preprint arXiv:2405.17395, 2024 | 1 | 2024 |
| Linocs: Lookahead inference of networked operators for continuous stability N Mudrik, E Yezerets, Y Chen, C Rozell, A Charles arXiv preprint arXiv:2404.18267, 2024 | 1 | 2024 |
| Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity in C. elegans E Yezerets, N Mudrik, A Charles bioRxiv, 2024.05. 31.596903, 2024 | 1 | 2024 |
| Sibblings: Similarity-driven building-block inference using graphs across states N Mudrik, G Mishne, AS Charles arXiv preprint arXiv:2306.04817, 2023 | 1 | 2023 |
| Multi-Lingual DALL-E Storytime N Mudrik, AS Charles IEEE ISEC, 2023 | 1 | 2023 |
| Human or Machine? Turing Tests for Vision and Language M Zhang, G Dellaferrera, A Sikarwar, M Armendariz, N Mudrik, P Agrawal, ... arXiv preprint arXiv:2211.13087, 2022 | 1 | 2022 |
| Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training J Xie, LCK Voinov, N Mudrik, G Mishne, A Charles arXiv preprint arXiv:2406.01969, 2024 | | 2024 |
| Decomposed Linear Dynamical Systems (dLDS) for identifying the latent dynamics underlying high-dimensional time-series N Mudrik, Y Chen, E Yezerets, CJ Rozell, AS Charles ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 0 | | |
Adam CharlesJohns Hopkins University, Department of Biomedical Engineering在 jhu.edu 的电子邮件经过验证
