Kevin Carlberg

1. Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
   2019/11/15 by Kookjin Lee, Kevin T. Carlberg, Kevin Carlberg · 66 citations
   Physics and Astronomy · Engineering · Computer Science · #Model Reduction and Neural Networks #Nuclear reactor physics and engineering #Gaussian Processes and Bayesian Inference
2. Model reduction of dynamical systems on nonlinear manifolds using deep\n convolutional autoencoders
   2018/12/20 by Kookjin Lee, Lee, Kookjin, Kevin Carlberg +1 · 41 citations
   Engineering · Physics and Astronomy · #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Real-time simulation and control systems
3. Galerkin v. least-squares Petrov--Galerkin projection in nonlinear model\n reduction
   2015/04/14 by Kevin Carlberg, Carlberg, Kevin, Matthew Barone +3 · 6 citations
   Engineering · Mathematics · Physics and Astronomy · #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations #Power System Optimization and Stability
4. CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
   2022/06/06 by Peter Yichen Chen, Chen, Peter Yichen, Jinxu Xiang +15 · 9 citations
   Computer Science · Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #Computational Engineering #Computational Physics (physics.comp-ph) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Finance #Graphics (cs.GR) #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #and Science (cs.CE)
5. Space-time least-squares Petrov-Galerkin projection for nonlinear model\n reduction
   2017/03/13 by Youngsoo Choi, Choi, Youngsoo, Kevin Carlberg +1 · 5 citations
   Engineering · Physics and Astronomy · #65L05 #65L06 #65L60 #65M15 #65M22 #68U20 #FOS: Mathematics #Fluid Dynamics and Vibration Analysis #Lattice Boltzmann Simulation Studies #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
6. Model reduction for the material point method via an implicit neural representation of the deformation map
   2021/09/25 by Peter Yichen Chen, Chen, Peter Yichen, Maurizio M. Chiaramonte +5 · 5 citations
   Engineering · Physics and Astronomy · #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #Fluid Dynamics Simulations and Interactions #Graphics (cs.GR) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #and Science (cs.CE)
7. Error modeling for surrogates of dynamical systems using machine\n learning
   2017/01/12 by Sumeet Trehan, Trehan, Sumeet, Kevin Carlberg +3 · 2 citations
   Decision Sciences · Engineering · Environmental Science · Physics and Astronomy · #FOS: Mathematics #Groundwater flow and contamination studies #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design #Reservoir Engineering and Simulation Methods
8. LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields
   2023/10/24 by Chang Yue, Chang, Yue, Peter Yichen Chen +9 · 2 citations
   Computer Science · Physics and Astronomy · #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Graphics (cs.GR) #Human Pose and Action Recognition #Model Reduction and Neural Networks
9. Statistical closure modeling for reduced-order models of stationary\n systems by the ROMES method
   2019/01/09 by Stefano Pagani, Andrea Manzoni, Pagani, Stefano +3 · 1 citation
   Engineering · Physics and Astronomy · #Fault Detection and Control Systems #Model Reduction and Neural Networks #Advanced Control Systems Optimization
10. Online adaptive basis refinement and compression for reduced-order models via vector-space sieving
    2020/03/17 by Philip A. Etter, Kevin T. Carlberg, Kevin Carlberg · 1 citation
    Physics and Astronomy · Engineering · Decision Sciences · #Model Reduction and Neural Networks #Nuclear reactor physics and engineering #Probabilistic and Robust Engineering Design
11. Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems
    2020/03/17 by Francesco Rizzi, Patrick Blonigan, Rizzi, Francesco +5 · 1 citation
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Vibration Analysis #Nuclear Engineering Thermal-Hydraulics
12. Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
    2024/02/03 by Shang‐Da Yang, Yang, Shangda, Vitaly Zankin +11 · 1 citation
    Decision Sciences · Engineering · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimization and Control (math.OC) #Probability (math.PR) #Reservoir Engineering and Simulation Methods