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 | 10 | 2024 |
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics N Mudrik, Y Chen, E Yezerets, CJ Rozell, AS Charles arXiv preprint arXiv:2206.02972, 2022 | 8 | 2022 |
Prospective Learning: Principled Extrapolation to the Future A De Silva, R Ramesh, L Ungar, MH Shuler, NJ Cowan, M Platt, C Li, ... Conference on Lifelong Learning Agents, 347-357, 2023 | 5 | 2023 |
Prospective learning: Back to the future JT Vogelstein, T Verstynen, KP Kording, L Isik, JW Krakauer, ... arXiv e-prints, arXiv: 2201.07372, 2022 | 5 | 2022 |
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 | 4 | 2024 |
Recognition Receiver Operating Characteristic Curves: The Complex Influence of Input Statistics, Memory, and Decision-making O Hakobyan, S Cheng Journal of Cognitive Neuroscience 33 (6), 1032-1055, 2021 | 4 | 2021 |
Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities R Perry, R Mehta, R Guo, E Yezerets, J Arroyo, M Powell, H Helm, C Shen, ... arXiv preprint arXiv:1907.00325, 2019 | 4 | 2019 |
The Learning Salon: Toward a new participatory science I Momennejad, JW Krakauer, C Sun, E Yezerets, K Rajan, JT Vogelstein, ... Neuron 109 (19), 3036-3040, 2021 | 2 | 2021 |
Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity in C. elegans E Yezerets, N Mudrik, A Charles bioRxiv, 2024 | 1 | 2024 |
Quantitative Models of Calcium-Dependent Protein Signaling in Neuronal Dendritic Spines MC Pharris Purdue University Graduate School, 2019 | | 2019 |
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 | | |