Hessam Babaee - RankMe

29 papers Journal 29

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A CUR Krylov Solver for Large-Scale Linear Matrix Equations. CoRR Saeed Akbari, Damiano Lombardi, Hessam Babaee
2025	J	`jnl`	AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics. CoRR Kamaljyoti Nath, Additi Pandey, Bryan T. Susi, Hessam Babaee, George Em Karniadakis
2025	J	`jnl`	An Adaptive CUR Algorithm and its Application to Reduced-Order Modeling of Random PDEs. CoRR Grishma Palkar, Hessam Babaee
2025	J	`jnl`	Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics. CoRR Additi Pandey, Liang Wei, Hessam Babaee, George Em Karniadakis
2025	J	`jnl`	Reduced order modeling of turbulent reacting flows on low-rank matrix manifolds. J. Comput. Phys. Aidyn Aitzhan, Arash G. Nouri, Peyman Givi, Hessam Babaee
2025	J	`jnl`	Skeletal Reaction Models for Gasoline Surrogate Combustion. CoRR Yinmin Liu, Hessam Babaee, Peyman Givi, Daniel Livescu, Arash G. Nouri
2024	J	`jnl`	A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation. CoRR Behzad Ghahremani, Hessam Babaee
2024	J	`jnl`	CUR for Implicit Time Integration of Random Partial Differential Equations on Low-Rank Matrix Manifolds. CoRR Mohammad Hossein Naderi, Sara Akhavan, Hessam Babaee
2024	J	`jnl`	Cross Algorithms for Cost-Effective Time Integration of Nonlinear Tensor Differential Equations on Low-Rank Tucker Tensor and Tensor Train Manifolds. CoRR Behzad Ghahremani, Hessam Babaee
2024	J	`jnl`	Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression. CoRR Shaghayegh Zamani Ashtiani, Mohammad Sarabian, Kaveh Laksari, Hessam Babaee
2023	J	`jnl`	CUR Decomposition for Scalable Rank-Adaptive Reduced-Order Modeling of Nonlinear Stochastic PDEs with Time-Dependent Bases. CoRR Michael Donello, G. Palkar, Mohammad Hossein Naderi, David C. Del Rey Fernández, Hessam Babaee
2023	J	`jnl`	Learning stiff chemical kinetics using extended deep neural operators. CoRR Somdatta Goswami, Ameya D. Jagtap, Hessam Babaee, Bryan T. Susi, George Em Karniadakis
2023	J	`jnl`	Low-Rank Solution Operator for Forced Linearized Dynamics with Unsteady Base Flows. CoRR Alireza Amiri-Margavi, Hessam Babaee
2023	J	`jnl`	Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions. SIAM/ASA J. Uncertain. Quantification Prerna Patil, Hessam Babaee
2022	J	`jnl`	A quantum-inspired approach to exploit turbulence structures. Nat. Comput. Sci. Nikita Gourianov, Michael Lubasch, Sergey Dolgov, Quincy Y. van den Berg, Hessam Babaee, Peyman Givi, Martin Kiffner, Dieter Jaksch
2022	J	`jnl`	Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases. CoRR Mohammad Hossein Naderi, Hessam Babaee
2022	J	`jnl`	Computing Sensitivities in Evolutionary Systems: A Real-Time Reduced Order Modeling Strategy. SIAM J. Sci. Comput. Michael Donello, Mark H. Carpenter, Hessam Babaee
2022	J	`jnl`	Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging. IEEE Trans. Medical Imaging Mohammad Sarabian, Hessam Babaee, Kaveh Laksari
2022	J	`jnl`	Scalable J. Comput. Phys. Shaghayegh Zamani Ashtiani, Mujeeb R. Malik, Hessam Babaee
2022	J	`jnl`	Scalable In Situ Compression of Transient Simulation Data Using Time-Dependent Bases. CoRR Shaghayegh Zamani Ashtiani, Mujeeb R. Malik, Hessam Babaee
2021	J	`jnl`	Multi-fidelity Bayesian neural networks: Algorithms and applications. J. Comput. Phys. Xuhui Meng, Hessam Babaee, George Em Karniadakis
2021	J	`jnl`	On-the-fly Reduced Order Modeling of Passive and Reactive Species via Time-Dependent Manifolds. CoRR Donya Ramezanian, Arash G. Nouri, Hessam Babaee
2021	J	`jnl`	Physics-informed neural networks for improving cerebral hemodynamics predictions. CoRR Mohammad Sarabian, Hessam Babaee, Kaveh Laksari
2021	J	`jnl`	Reduced order modeling with time-dependent bases for PDEs with stochastic boundary conditions. CoRR Prerna Patil, Hessam Babaee
2020	J	`jnl`	Multi-fidelity Bayesian Neural Networks: Algorithms and Applications. CoRR Xuhui Meng, Hessam Babaee, George Em Karniadakis
2020	J	`jnl`	Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces. J. Comput. Phys. Prerna Patil, Hessam Babaee
2018	J	`jnl`	Deep Learning of Turbulent Scalar Mixing. CoRR Maziar Raissi, Hessam Babaee, Peyman Givi
2018	J	`jnl`	Stochastic Domain Decomposition via Moment Minimization. SIAM J. Sci. Comput. Dongkun Zhang, Hessam Babaee, George E. Karniadakis
2017	J	`jnl`	A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems. J. Comput. Phys. Hessam Babaee, Minseok Choi, Themistoklis P. Sapsis, George E. Karniadakis