Hessam Babaee

According to our database, Hessam Babaee authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Cross Algorithms for Cost-Effective Time Integration of Nonlinear Tensor Differential Equations on Low-Rank Tucker Tensor and Tensor Train Manifolds.

Behzad Ghahremani, Hessam Babaee

CoRR, 2024

Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression.

Shaghayegh Zamani Ashtiani, Mohammad Sarabian, Kaveh Laksari, Hessam Babaee

CoRR, 2024

A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation.

Behzad Ghahremani, Hessam Babaee

CoRR, 2024

2023

Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions.

Prerna Patil, Hessam Babaee

SIAM/ASA J. Uncertain. Quantification, September, 2023

Low-Rank Solution Operator for Forced Linearized Dynamics with Unsteady Base Flows.

Alireza Amiri-Margavi, Hessam Babaee

CoRR, 2023

CUR Decomposition for Scalable Rank-Adaptive Reduced-Order Modeling of Nonlinear Stochastic PDEs with Time-Dependent Bases.

Michael Donello, G. Palkar, Mohammad Hossein Naderi, David C. Del Rey Fernández, Hessam Babaee

CoRR, 2023

Learning stiff chemical kinetics using extended deep neural operators.

Somdatta Goswami, Ameya D. Jagtap, Hessam Babaee, Bryan T. Susi, George Em Karniadakis

CoRR, 2023

2022

Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging.

Mohammad Sarabian, Hessam Babaee, Kaveh Laksari

IEEE Trans. Medical Imaging, 2022

Computing Sensitivities in Evolutionary Systems: A Real-Time Reduced Order Modeling Strategy.

Michael Donello, Mark H. Carpenter, Hessam Babaee

SIAM J. Sci. Comput., 2022

A quantum-inspired approach to exploit turbulence structures.

Nikita Gourianov, Michael Lubasch, Sergey Dolgov, Quincy Y. van den Berg, Hessam Babaee, Peyman Givi, Martin Kiffner, Dieter Jaksch

Nat. Comput. Sci., 2022

Scalable <i>in situ</i> compression of transient simulation data using time-dependent bases.

Shaghayegh Zamani Ashtiani, Mujeeb R. Malik, Hessam Babaee

J. Comput. Phys., 2022

Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases.

Mohammad Hossein Naderi, Hessam Babaee

CoRR, 2022

Scalable In Situ Compression of Transient Simulation Data Using Time-Dependent Bases.

Shaghayegh Zamani Ashtiani, Mujeeb R. Malik, Hessam Babaee

CoRR, 2022

2021

Multi-fidelity Bayesian neural networks: Algorithms and applications.

Xuhui Meng, Hessam Babaee, George Em Karniadakis

J. Comput. Phys., 2021

Physics-informed neural networks for improving cerebral hemodynamics predictions.

Mohammad Sarabian, Hessam Babaee, Kaveh Laksari

CoRR, 2021

On-the-fly Reduced Order Modeling of Passive and Reactive Species via Time-Dependent Manifolds.

Donya Ramezanian, Arash G. Nouri, Hessam Babaee

CoRR, 2021

2020

Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces.

Prerna Patil, Hessam Babaee

J. Comput. Phys., 2020

2018

Stochastic Domain Decomposition via Moment Minimization.

Dongkun Zhang, Hessam Babaee, George E. Karniadakis

SIAM J. Sci. Comput., 2018

Deep Learning of Turbulent Scalar Mixing.

Maziar Raissi, Hessam Babaee, Peyman Givi

CoRR, 2018

2017

A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems.

Hessam Babaee, Minseok Choi, Themistoklis P. Sapsis, George E. Karniadakis

J. Comput. Phys., 2017