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Zabaras, Nicholas
160  Ergebnisse:
Personensuche X
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1

Deep Learning for Simultaneous Inference of Hydraulic and T..:

Zhou, Zitong ; Zabaras, Nicholas ; Tartakovsky, Daniel M.
Water Resources Research.  58 (2022)  10 - p. , 2022
Link: https://doi.org/10.1029/..
 
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2

Bayesian multiscale deep generative model for the solution ..:

Xia, Yingzhi ; Zabaras, Nicholas
Journal of Computational Physics.  455 (2022)  - p. 111008 , 2022
Link: https://doi.org/10.1016/..
 
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3

Transformers for modeling physical systems:

Geneva, Nicholas ; Zabaras, Nicholas
Neural Networks.  146 (2022)  - p. 272-289 , 2022
Link: https://doi.org/10.1016/..
 
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4

Solving inverse problems using conditional invertible neura..:

Anantha Padmanabha, Govinda ; Zabaras, Nicholas
Journal of Computational Physics.  433 (2021)  - p. 110194 , 2021
Link: https://doi.org/10.1016/..
 
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5

Probabilistic Machine Learning Strategies for Coarse-Graini..:

Schöberl, Markus Josef Johann , 2020
Link: http://nbn-resolving.de/..
 
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6

Integration of Adversarial Autoencoders With Residual Dense..:

Mo, Shaoxing ; Zabaras, Nicholas ; Shi, Xiaoqing.
Water Resources Research.  56 (2020)  2 - p. , 2020
Link: https://doi.org/10.1029/..
 
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7

Modeling the dynamics of PDE systems with physics-constrain..:

Geneva, Nicholas ; Zabaras, Nicholas
Journal of Computational Physics.  403 (2020)  - p. 109056 , 2020
Link: https://doi.org/10.1016/..
 
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8

Deep Convolutional Encoder‐Decoder Networks for Uncertainty..:

Mo, Shaoxing ; Zhu, Yinhao ; Zabaras, Nicholas..
Water Resources Research.  55 (2019)  1 - p. 703-728 , 2019
Link: https://doi.org/10.1029/..
 
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9

Structured Bayesian Gaussian process latent variable model:..:

Atkinson, Steven ; Zabaras, Nicholas
Journal of Computational Physics.  383 (2019)  - p. 166-195 , 2019
Link: https://doi.org/10.1016/..
 
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10

Quantifying model form uncertainty in Reynolds-averaged tur..:

Geneva, Nicholas ; Zabaras, Nicholas
Journal of Computational Physics.  383 (2019)  - p. 125-147 , 2019
Link: https://doi.org/10.1016/..
 
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11

Physics-constrained deep learning for high-dimensional surr..:

Zhu, Yinhao ; Zabaras, Nicholas ; Koutsourelakis, Phaedon-Stelios.
Journal of Computational Physics.  394 (2019)  - p. 56-81 , 2019
Link: https://doi.org/10.1016/..
 
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12

Predictive collective variable discovery with deep Bayesian..:

Schöberl, Markus ; Zabaras, Nicholas ; Koutsourelakis, Phaedon-Stelios
The Journal of Chemical Physics.  150 (2019)  2 - p. , 2019
Link: https://doi.org/10.1063/..
 
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13

Deep Autoregressive Neural Networks for High‐Dimensional In..:

Mo, Shaoxing ; Zabaras, Nicholas ; Shi, Xiaoqing.
Water Resources Research.  55 (2019)  5 - p. 3856-3881 , 2019
Link: https://doi.org/10.1029/..
 
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14

Bayesian deep convolutional encoder–decoder networks for su..:

Zhu, Yinhao ; Zabaras, Nicholas
Journal of Computational Physics.  366 (2018)  - p. 415-447 , 2018
Link: https://doi.org/10.1016/..
 
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15

Parallel probabilistic graphical model approach for nonpara..:

Lee, Wonjung ; Zabaras, Nicholas
Journal of Computational Physics.  372 (2018)  - p. 546-563 , 2018
Link: https://doi.org/10.1016/..
 
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