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Eric Joseph Hall
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GINNs: Graph-Informed Neural Networks for Multiscale Physics
EJ Hall, S Taverniers, MA Katsoulakis, DM Tartakovsky
Journal of Computational Physics 433, 110192, 2021
302021
Causality and Bayesian Network PDEs for multiscale representations of porous media
K Um, EJ Hall, MA Katsoulakis, DM Tartakovsky
Journal of Computational Physics 394, 658--678, 2019
172019
Weak error rates for option pricing under linear rough volatility
C Bayer, EJ Hall, R Tempone
International Journal of Theoretical and Applied Finance, 2250029, 2023
15*2023
Uncertainty quantification for generalized Langevin dynamics
EJ Hall, MA Katsoulakis, L Rey-Bellet
The Journal of Chemical Physics 145, 224108, 2016
152016
Mutual information for explainable deep learning of multiscale systems
S Taverniers, EJ Hall, MA Katsoulakis, DM Tartakovsky
Journal of Computational Physics 444, 110551, 2021
132021
Accelerated spatial approximations for time discretized stochastic partial differential equations
EJ Hall
SIAM Journal on Mathematical Analysis 44 (5), 3162-3185, 2012
132012
Robust information divergences for model-form uncertainty arising from sparse data in random PDE
EJ Hall, MA Katsoulakis
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1364-1394, 2018
92018
Computable error estimates for finite element approximations of elliptic partial differential equations with rough stochastic data
EJ Hall, H Hoel, M Sandberg, A Szepessy, R Tempone
SIAM J. Sci. Comput. 38 (6), A3773–A3807, 2016
62016
Higher order spatial approximations for degenerate parabolic stochastic partial differential equations
EJ Hall
SIAM Journal on Mathematical Analysis 45 (4), 2071–2098, 2013
62013
Graph-Informed Neural Networks
S Taverniers, EJ Hall, MA Katsoulakis, DM Tartakovsky
AAAI 2021 Spring Symposium Series: Combining Artificial Intelligence and …, 2021
12021
Accelerated Numerical Schemes for Deterministic and Stochastic Partial Differential Equations of Parabolic Type
EJ Hall
University of Edinburgh, 2013
2013
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Articles 1–11