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Eva Yezerets
Eva Yezerets
PhD Student, Biomedical Engineering, Johns Hopkins University
Dirección de correo verificada de jhmi.edu
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Año
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
102024
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
82022
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
52023
Prospective learning: Back to the future
JT Vogelstein, T Verstynen, KP Kording, L Isik, JW Krakauer, ...
arXiv e-prints, arXiv: 2201.07372, 2022
52022
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
42024
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
42021
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
42019
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
22021
Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity in C. elegans
E Yezerets, N Mudrik, A Charles
bioRxiv, 2024
12024
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
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