Alireza Doostan

1. On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
   2020/02/11 by Subhayan De, Jolene Britton, De, Subhayan +9 · 5 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probabilistic and Robust Engineering Design
2. Simultaneous Identification and Denoising of Dynamical Systems
   2022/03/25 by Jeffrey M. Hokanson, Hokanson, Jeffrey M., Gianluca Iaccarino +3 · 4 citations
   Engineering · Physics and Astronomy · #Control Systems and Identification #Model Reduction and Neural Networks #Fault Detection and Control Systems
3. Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares
   2021/01/25 by Alexandre Cortiella, Kwang-Chun Park, K. C. Park +1 · 3 citations
   Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Control Systems and Identification
4. Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence
   2018/08/17 by Hillary Fairbanks, Lluís Jofre, Fairbanks, Hillary R. +7 · 2 citations
   Computer Science · Decision Sciences · Engineering · #Advanced Multi-Objective Optimization Algorithms #Computational Physics (physics.comp-ph) #FOS: Mathematics #FOS: Physical sciences #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design #Water resources management and optimization
5. Pass-efficient methods for compression of high-dimensional turbulent flow data
   2020/07/09 by Alec M. Dunton, Lluís Jofre, Gianluca Iaccarino +1 · 2 citations
   Computer Science · #Advanced Data Compression Techniques #Computer Graphics and Visualization Techniques #Advanced Image Processing Techniques
6. Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach
   2019/02/11 by Subhayan De, De, Subhayan, Jerrad Hampton +5 · 2 citations
   Computer Science · Decision Sciences · Engineering · #Advanced Multi-Objective Optimization Algorithms #FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Probabilistic and Robust Engineering Design #Topology Optimization in Engineering
7. Stochastic Subspace Descent
   2019/04/01 by David Kozak, Stephen Becker, Kozak, David +5 · 1 citation
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Machine Learning and Algorithms
8. In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD
   2023/06/22 by Riccardo Balin, Balin, Riccardo, Filippo Simini +17 · 2 citations
   Computer Science · Engineering · #Advanced Data Storage Technologies #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG)
9. Rapid Aerodynamic Shape Optimization Under Parametric and Turbulence Model Uncertainty: A Stochastic Gradient Approach
   2021/05/03 by Lluís Jofre, Jofre, Lluís, Alireza Doostan +1 · 1 citation
   Computer Science · Decision Sciences · Engineering · #Advanced Multi-Objective Optimization Algorithms #FOS: Mathematics #Optimization and Control (math.OC) #Probabilistic and Robust Engineering Design #Topology Optimization in Engineering
10. A Priori Denoising Strategies for Sparse Identification of Nonlinear\n Dynamical Systems: A Comparative Study
    2022/01/29 by Alexandre Cortiella, K. C. Park, Cortiella, Alexandre +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Systems and Control (eess.SY) #electronic engineering #information engineering
11. Pass-efficient methods for compression of high-dimensional turbulent flow data
    2017/01/01 by Alec M. Dunton, Dunton, Alec M., Lluís Jofre +5 · 1 citation
    Mathematics · Computer Science · Physics and Astronomy · #Tensor decomposition and applications #Computational Physics and Python Applications #Model Reduction and Neural Networks
12. Task-parallel in-situ temporal compression of large-scale computational fluid dynamics data
    2021/03/02 by Heather Pacella, Alec M. Dunton, Pacella, Heather +5 · 1 citation
    Computer Science · #Parallel Computing and Optimization Techniques #Numerical Methods and Algorithms #Advanced Data Storage Technologies
13. Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient
    2025/06/04 by Conor Rowan, John A. Evans, Rowan, Conor +5 · 5 citations
    Physics and Astronomy · Engineering · Mathematics · #Model Reduction and Neural Networks #Topology Optimization in Engineering #Numerical methods for differential equations
14. QuadConv: Quadrature-based convolutions with applications to non-uniform PDE data compression
    2023/11/20 by Kevin Doherty, Cooper Simpson, Stephen Becker +1 · 1 citation
    Mathematics · Computer Science · Physics and Astronomy · #Tensor decomposition and applications #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks