Karthik Duraisamy

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 34

Top Topics

Linear Dynamical Systems

Predictive Model

Machine Learning

Top Venues

J. Comput. Phys.

SIAM J. Appl. Dyn. Syst.

Publications

Christian Jacobsen, Jiayuan Dong, Mehdi Khalloufi, Xun Huan, Karthik Duraisamy, Maryam Akram, Wanjiao Liu
Enhancing Dynamical System Modeling through Interpretable Machine Learning Augmentations: A Case Study in Cathodic Electrophoretic Deposition. CoRR (2024)
Christian Jacobsen, Ivan Zanardi, Sahil Bhola, Karthik Duraisamy, Marco Panesi
Information theoretic clustering for coarse-grained modeling of non-equilibrium gas dynamics. J. Comput. Phys. 507 (2024)
Karthik Duraisamy
Finite Sample Analysis and Bounds of Generalization Error of Gradient Descent in In-Context Linear Regression. CoRR (2024)
Jiayuan Dong, Christian Jacobsen, Mehdi Khalloufi, Maryam Akram, Wanjiao Liu, Karthik Duraisamy, Xun Huan
Variational Bayesian Optimal Experimental Design with Normalizing Flows. CoRR (2024)
Elnaz Rezaian, Karthik Duraisamy
Data-driven Balanced Truncation for Predictive Model Order Reduction of Aeroacoustic Response. CoRR (2023)
Shaowu Pan, Karthik Duraisamy
On the lifting and reconstruction of dynamical systems with multiple attractors. CoRR (2023)
Daisuke Uchida, Karthik Duraisamy
Control-aware Learning of Koopman Embedding Models. ACC (2023)
Christian Jacobsen, Yilin Zhuang, Karthik Duraisamy
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems. CoRR (2023)
Nicholas Arnold-Medabalimi, Christopher R. Wentland, Cheng Huang, Karthik Duraisamy
PLATFORM: Parallel Linear Algebra Tool FOr Reduced Modeling. SoftwareX 21 (2023)
Cheng Huang, Karthik Duraisamy
Predictive reduced order modeling of chaotic multi-scale problems using adaptively sampled projections. J. Comput. Phys. 491 (2023)
Marcial Sanchis-Agudo, Yuning Wang, Karthik Duraisamy, Ricardo Vinuesa
Easy attention: A simple self-attention mechanism for Transformers. CoRR (2023)
Christopher R. Wentland, Karthik Duraisamy
PERFORM: A Python package for developing reduced-order models for reacting fluid flows. J. Open Source Softw. 7 (79) (2022)
Vishal Srivastava, Valentin Sulzer, Peyman Mohtat, Jason B. Siegel, Karthik Duraisamy
A Non-intrusive Approach for Physics-constrained Learning with Application to Fuel Cell Modeling. CoRR (2022)
Ayoub Gouasmi, Scott M. Murman, Karthik Duraisamy
Entropy-stable schemes in the low-Mach-number regime: Flux-preconditioning, entropy breakdowns, and entropy transfers. J. Comput. Phys. 456 (2022)
Cheng Huang, Christopher R. Wentland, Karthik Duraisamy, Charles Merkle
Model reduction for multi-scale transport problems using model-form preserving least-squares projections with variable transformation. J. Comput. Phys. 448 (2022)
Jiayang Xu, Aniruddhe Pradhan, Karthik Duraisamy
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems. CoRR (2021)
James Duvall, Karthik Duraisamy, Shaowu Pan
Non-linear Independent Dual System (NIDS) for Discretization-independent Surrogate Modeling over Complex Geometries. CoRR (2021)
Karthik Duraisamy
Variational Encoders and Autoencoders : Information-theoretic Inference and Closed-form Solutions. CoRR (2021)
Elnaz Rezaian, Cheng Huang, Karthik Duraisamy
Non-intrusive Balancing Transformation of Highly Stiff Systems with Lightly-damped Impulse Response. CoRR (2021)
Mohit Tekriwal, Karthik Duraisamy, Jean-Baptiste Jeannin
A Formal Proof of the Lax Equivalence Theorem for Finite Difference Schemes. NFM (2021)
Jiayang Xu, Aniruddhe Pradhan, Karthik Duraisamy
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems. NeurIPS (2021)
Christian Jacobsen, Karthik Duraisamy
Disentangling Generative Factors of Physical Fields Using Variational Autoencoders. CoRR (2021)
Mohit Tekriwal, Karthik Duraisamy, Jean-Baptiste Jeannin
A formal proof of the Lax equivalence theorem for finite difference schemes. CoRR (2021)
Shaowu Pan, Karthik Duraisamy
Physics-Informed Probabilistic Learning of Linear Embeddings of Nonlinear Dynamics with Guaranteed Stability. SIAM J. Appl. Dyn. Syst. 19 (1) (2020)
Ayoub Gouasmi, Scott M. Murman, Karthik Duraisamy
Entropy Conservative Schemes and the Receding Flow Problem. J. Sci. Comput. 78 (2) (2019)
Yaser Afshar, Saakaar Bhatnagar, Shaowu Pan, Karthik Duraisamy, Shailendra Kaushik
Prediction of Aerodynamic Flow Fields Using Convolutional Neural Networks. CoRR (2019)
Jiayang Xu, Karthik Duraisamy
Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics. CoRR (2019)
Shaowu Pan, Karthik Duraisamy
Long-Time Predictive Modeling of Nonlinear Dynamical Systems Using Neural Networks. Complex. 2018 (2018)
Shaowu Pan, Karthik Duraisamy
Data-Driven Discovery of Closure Models. SIAM J. Appl. Dyn. Syst. 17 (4) (2018)
Shaowu Pan, Karthik Duraisamy
Long-time predictive modeling of nonlinear dynamical systems using neural networks. CoRR (2018)
Eric J. Parish, Karthik Duraisamy
A dynamic subgrid scale model for Large Eddy Simulations based on the Mori-Zwanzig formalism. J. Comput. Phys. 349 (2017)
Anand Pratap Singh, Shivaji Medida, Karthik Duraisamy
Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils. CoRR (2016)
Eric J. Parish, Karthik Duraisamy
A paradigm for data-driven predictive modeling using field inversion and machine learning. J. Comput. Phys. 305 (2016)
Ankit Goel, Karthik Duraisamy, Dennis S. Bernstein
Parameter estimation in the Burgers equation using retrospective-cost model refinement. ACC (2016)
Ankit Goel, Antai Xie, Karthik Duraisamy, Dennis S. Bernstein
Retrospective cost adaptive thrust control of a 1D scramjet with Mach number disturbance. ACC (2015)
Ze Jia Zhang, Karthik Duraisamy, Nail A. Gumerov
Efficient Multiscale Gaussian Process Regression using Hierarchical Clustering. CoRR (2015)
Zach DeVito, Niels Joubert, Francisco Palacios, Stephen Oakley, Montserrat Medina, Mike Barrientos, Erich Elsen, Frank Ham, Alex Aiken, Karthik Duraisamy, Eric Darve, Juan J. Alonso, Pat Hanrahan
Liszt: a domain specific language for building portable mesh-based PDE solvers. SC (2011)