A DEIM Tucker tensor cross algorithm and its application to dynamical low-rank approximation von Ghahremani, Behzad, Babaee, Hessam

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Cross interpolation for solving high-dimensional dynamical systems on low-rank Tucker and tensor train manifolds von Ghahremani, Behzad, Babaee, Hessam

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Multi-fidelity Bayesian neural networks: Algorithms and applications von Meng, Xuhui, Babaee, Hessam, Karniadakis, George Em

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Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces von Patil, Prerna, Babaee, Hessam

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Low-Rank Representation of Head Impact Kinematics: A Data-Driven Emulator von Arrue, Patricio, Toosizadeh, Nima, Babaee, Hessam, Laksari, Kaveh

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Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases von Naderi, Mohammad Hossein, Babaee, Hessam

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Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging von Sarabian, Mohammad, Babaee, Hessam, Laksari, Kaveh

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Computing Sensitivities in Evolutionary Systems: A Real-time Reduced Order Modeling Strategy von Donello, Michael, Carpenter, Mark H., Babaee, Hessam

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On-the-fly reduced order modeling of passive and reactive species via time-dependent manifolds von Ramezanian, Donya, Nouri, Arash G., Babaee, Hessam

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Mechanistic Insights into Human Brain Impact Dynamics through Modal Analysis von Laksari, Kaveh, Kurt, Mehmet, Babaee, Hessam, Kleiven, Svein, Camarillo, David

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Parametric Gaussian process regression for big data von Raissi, Maziar, Babaee, Hessam, Karniadakis, George Em

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Reduced order modeling of turbulent reacting flows on low-rank matrix manifolds von Aitzhan, Aidyn, Nouri, Arash G., Givi, Peyman, Babaee, Hessam

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Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions von Patil, Prerna, Babaee, Hessam

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Multi-fidelity Bayesian neural networks: Algorithms and applications von Meng, Xuhui, Babaee, Hessam, Karniadakis, George Em

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Deep learning of turbulent scalar mixing von Raissi, Maziar, Babaee, Hessam, Givi, Peyman

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Learning stiff chemical kinetics using extended deep neural operators von Goswami, Somdatta, Jagtap, Ameya D., Babaee, Hessam, Susi, Bryan T., Karniadakis, George Em

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Skeletal reaction models for methane combustion von Liu, Yinmin, Babaee, Hessam, Givi, Peyman, Chelliah, Harsha K., Livescu, Daniel, Nouri, Arash G.

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Stochastic Domain Decomposition via Moment Minimization von Zhang, Dongkun, Babaee, Hessam, Karniadakis, George Em

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A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems von Babaee, Hessam, Choi, Minseok, Sapsis, Themistoklis P., Karniadakis, George Em

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Scalable in situ compression of transient simulation data using time-dependent bases von Ashtiani, Shaghayegh Zamani, Malik, Mujeeb R., Babaee, Hessam

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