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Maltba, Tyler E
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1

Learning the Evolution of Correlated Stochastic Power Syste..:

, In: 2022 IEEE Power & Energy Society General Meeting (PESGM),
Maltba, Tyler E. ; Rao, Vishwas ; Maldonado, Daniel Adrian - p. 01-05 , 2022
Link: https://doi.org/10.1109/..
 
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2

Autonomous learning of nonlocal stochastic neuron dynamics:

Maltba, Tyler E. ; Zhao, Hongli ; Tartakovsky, Daniel M.
Cognitive Neurodynamics.  16 (2021)  3 - p. 683-705 , 2021
Link: https://doi.org/10.1007/..
 
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3

Data-Driven Estimation of Failure Probabilities in Correlat..:

Zhao, Hongli ; Maltba, Tyler E ; Maldonado, D. Adrian..
http://arxiv.org/abs/2401.02555.  , 2024
Link: http://arxiv.org/abs/240..
 
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4

Data-driven Closures & Assimilation for Stiff Multiscale Ra..:

Maltba, Tyler E ; Zhao, Hongli ; Maldonado, D. Adrian
http://arxiv.org/abs/2312.10243.  , 2023
Link: http://arxiv.org/abs/231..
 
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5

Learning the Evolution of Correlated Stochastic Power Syste..:

Maltba, Tyler E ; Rao, Vishwas ; Maldonado, Daniel Adrian
http://arxiv.org/abs/2207.13310.  , 2022
Link: http://arxiv.org/abs/220..
 
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6

Autonomous learning of nonlocal stochastic neuron dynamics:

Maltba, Tyler E ; Zhao, Hongli ; Tartakovsky, Daniel M
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120337/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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7

Autonomous learning of nonlocal stochastic neuron dynamics:

Maltba, Tyler E ; Zhao, Hongli ; Tartakovsky, Daniel M
http://arxiv.org/abs/2011.10955.  , 2020
Link: http://arxiv.org/abs/201..
 
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8

Nonlocal PDF methods for Langevin equations with colored no..:

Maltba, Tyler ; Gremaud, Pierre A. ; Tartakovsky, Daniel M.
Journal of Computational Physics.  367 (2018)  - p. 87-101 , 2018
Link: https://doi.org/10.1016/..
 
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