Hessam Babaee

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

Publications

Shaghayegh Zamani Ashtiani, Mohammad Sarabian, Kaveh Laksari, Hessam Babaee
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression. CoRR (2024)
Behzad Ghahremani, Hessam Babaee
A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation. CoRR (2024)
Behzad Ghahremani, Hessam Babaee
Cross Algorithms for Cost-Effective Time Integration of Nonlinear Tensor Differential Equations on Low-Rank Tucker Tensor and Tensor Train Manifolds. CoRR (2024)
Alireza Amiri-Margavi, Hessam Babaee
Low-Rank Solution Operator for Forced Linearized Dynamics with Unsteady Base Flows. CoRR (2023)
Prerna Patil, Hessam Babaee
Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions. SIAM/ASA J. Uncertain. Quantification 11 (3) (2023)
Somdatta Goswami, Ameya D. Jagtap, Hessam Babaee, Bryan T. Susi, George Em Karniadakis
Learning stiff chemical kinetics using extended deep neural operators. CoRR (2023)
Michael Donello, G. Palkar, Mohammad Hossein Naderi, David C. Del Rey Fernández, Hessam Babaee
CUR Decomposition for Scalable Rank-Adaptive Reduced-Order Modeling of Nonlinear Stochastic PDEs with Time-Dependent Bases. CoRR (2023)
Shaghayegh Zamani Ashtiani, Mujeeb R. Malik, Hessam Babaee
Scalable In Situ Compression of Transient Simulation Data Using Time-Dependent Bases. CoRR (2022)
Nikita Gourianov, Michael Lubasch, Sergey Dolgov, Quincy Y. van den Berg, Hessam Babaee, Peyman Givi, Martin Kiffner, Dieter Jaksch
A quantum-inspired approach to exploit turbulence structures. Nat. Comput. Sci. 2 (1) (2022)
Michael Donello, Mark H. Carpenter, Hessam Babaee
Computing Sensitivities in Evolutionary Systems: A Real-Time Reduced Order Modeling Strategy. SIAM J. Sci. Comput. 44 (1) (2022)
Shaghayegh Zamani Ashtiani, Mujeeb R. Malik, Hessam Babaee
compression of transient simulation data using time-dependent bases. J. Comput. Phys. 468 (2022)
Mohammad Hossein Naderi, Hessam Babaee
Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases. CoRR (2022)
Mohammad Sarabian, Hessam Babaee, Kaveh Laksari
Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging. IEEE Trans. Medical Imaging 41 (9) (2022)
Donya Ramezanian, Arash G. Nouri, Hessam Babaee
On-the-fly Reduced Order Modeling of Passive and Reactive Species via Time-Dependent Manifolds. CoRR (2021)
Xuhui Meng, Hessam Babaee, George Em Karniadakis
Multi-fidelity Bayesian neural networks: Algorithms and applications. J. Comput. Phys. 438 (2021)
Mohammad Sarabian, Hessam Babaee, Kaveh Laksari
Physics-informed neural networks for improving cerebral hemodynamics predictions. CoRR (2021)
Prerna Patil, Hessam Babaee
Reduced order modeling with time-dependent bases for PDEs with stochastic boundary conditions. CoRR (2021)
Prerna Patil, Hessam Babaee
Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces. J. Comput. Phys. 415 (2020)
Xuhui Meng, Hessam Babaee, George Em Karniadakis
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications. CoRR (2020)
Maziar Raissi, Hessam Babaee, Peyman Givi
Deep Learning of Turbulent Scalar Mixing. CoRR (2018)
Dongkun Zhang, Hessam Babaee, George E. Karniadakis
Stochastic Domain Decomposition via Moment Minimization. SIAM J. Sci. Comput. 40 (4) (2018)
Hessam Babaee, Minseok Choi, Themistoklis P. Sapsis, George E. Karniadakis
A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems. J. Comput. Phys. 344 (2017)