Karthik Duraisamy

48 papers A* 1A 1C 4Journal 41Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward Adaptive Non-Intrusive Reduced-Order Models: Design and Challenges. CoRR Amirpasha Hedayat, Alberto Padovan, Karthik Duraisamy
2025	J	`jnl`	A Digital Twin Framework for Generation-IV Reactors with Reinforcement Learning-Enabled Health-Aware Supervisory Control. CoRR Jasmin Y. Lim, Dimitrios Pylorof, Humberto E. Garcia, Karthik Duraisamy
2025	J	`jnl`	Active Inference AI Systems for Scientific Discovery. CoRR Karthik Duraisamy
2025	J	`jnl`	Attention-Enhanced Convolutional Autoencoder and Structured Delay Embeddings for Weather Prediction. CoRR Amirpasha Hedayat, Karthik Duraisamy
2025	J	`jnl`	CoCoGen: Physically Consistent and Conditioned Score-Based Generative Models for Forward and Inverse Problems. SIAM J. Sci. Comput. Christian Jacobsen, Yilin Zhuang, Karthik Duraisamy
2025	C	`conf`	Data-driven Koopman Operator-based Prediction and Control Using Model Averaging. ACC Daisuke Uchida, Karthik Duraisamy
2025	J	`jnl`	Extracting Koopman Operators for Prediction and Control of Nonlinear Dynamics Using Two-Stage Learning and Oblique Projections. SIAM J. Appl. Dyn. Syst. Daisuke Uchida, Karthik Duraisamy
2025	J	`jnl`	Flow matching Operators for Residual-Augmented Probabilistic Learning of Partial Differential Equations. CoRR Sahil Bhola, Karthik Duraisamy
2025	J	`jnl`	Foundation Models for Discovery and Exploration in Chemical Space. CoRR Alexius Wadell, Anoushka Bhutani, Victor Azumah, Austin R. Ellis-Mohr, Celia Kelly, Hancheng Zhao, Anuj K. Nayak, Kareem Hegazy, Alexander Brace, Hongyi Lin, Murali Emani, Venkatram Vishwanath, Kevin Gering, Melisa Alkan, Tom Gibbs, Jack C. Wells, Lav R. Varshney, Bharath Ramsundar, Karthik Duraisamy, Michael W. Mahoney, Arvind Ramanathan, Venkatasubramanian Viswanathan
2025	J	`jnl`	LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting. CoRR Yilin Zhuang, Karthik Duraisamy
2024	J	`jnl`	Enhancing Dynamical System Modeling through Interpretable Machine Learning Augmentations: A Case Study in Cathodic Electrophoretic Deposition. CoRR Christian Jacobsen, Jiayuan Dong, Mehdi Khalloufi, Xun Huan, Karthik Duraisamy, Maryam Akram, Wanjiao Liu
2024	J	`jnl`	Finite Sample Analysis and Bounds of Generalization Error of Gradient Descent in In-Context Linear Regression. CoRR Karthik Duraisamy
2024	J	`jnl`	Information theoretic clustering for coarse-grained modeling of non-equilibrium gas dynamics. J. Comput. Phys. Christian Jacobsen, Ivan Zanardi, Sahil Bhola, Karthik Duraisamy, Marco Panesi
2024	J	`jnl`	Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse Observations. CoRR Yilin Zhuang, Sibo Cheng, Karthik Duraisamy
2024	J	`jnl`	Variational Bayesian Optimal Experimental Design with Normalizing Flows. CoRR Jiayuan Dong, Christian Jacobsen, Mehdi Khalloufi, Maryam Akram, Wanjiao Liu, Karthik Duraisamy, Xun Huan
2023	J	`jnl`	CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems. CoRR Christian Jacobsen, Yilin Zhuang, Karthik Duraisamy
2023	C	`conf`	Control-aware Learning of Koopman Embedding Models. ACC Daisuke Uchida, Karthik Duraisamy
2023	J	`jnl`	Data-driven Balanced Truncation for Predictive Model Order Reduction of Aeroacoustic Response. CoRR Elnaz Rezaian, Karthik Duraisamy
2023	J	`jnl`	Easy attention: A simple self-attention mechanism for Transformers. CoRR Marcial Sanchis-Agudo, Yuning Wang, Karthik Duraisamy, Ricardo Vinuesa
2023	J	`jnl`	On the lifting and reconstruction of dynamical systems with multiple attractors. CoRR Shaowu Pan, Karthik Duraisamy
2023	J	`jnl`	PLATFORM: Parallel Linear Algebra Tool FOr Reduced Modeling. SoftwareX Nicholas Arnold-Medabalimi, Christopher R. Wentland, Cheng Huang, Karthik Duraisamy
2023	J	`jnl`	Predictive reduced order modeling of chaotic multi-scale problems using adaptively sampled projections. J. Comput. Phys. Cheng Huang, Karthik Duraisamy
2022	J	`jnl`	A Non-intrusive Approach for Physics-constrained Learning with Application to Fuel Cell Modeling. CoRR Vishal Srivastava, Valentin Sulzer, Peyman Mohtat, Jason B. Siegel, Karthik Duraisamy
2022	J	`jnl`	Entropy-stable schemes in the low-Mach-number regime: Flux-preconditioning, entropy breakdowns, and entropy transfers. J. Comput. Phys. Ayoub Gouasmi, Scott M. Murman, Karthik Duraisamy
2022	J	`jnl`	Model reduction for multi-scale transport problems using model-form preserving least-squares projections with variable transformation. J. Comput. Phys. Cheng Huang, Christopher R. Wentland, Karthik Duraisamy, Charles L. Merkle
2022	J	`jnl`	PERFORM: A Python package for developing reduced-order models for reacting fluid flows. J. Open Source Softw. Christopher R. Wentland, Karthik Duraisamy
2021	—	`conf`	A Formal Proof of the Lax Equivalence Theorem for Finite Difference Schemes. NFM Mohit Tekriwal, Karthik Duraisamy, Jean-Baptiste Jeannin
2021	J	`jnl`	A formal proof of the Lax equivalence theorem for finite difference schemes. CoRR Mohit Tekriwal, Karthik Duraisamy, Jean-Baptiste Jeannin
2021	A*	`conf`	Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems. NeurIPS Jiayang Xu, Aniruddhe Pradhan, Karthik Duraisamy
2021	J	`jnl`	Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems. CoRR Jiayang Xu, Aniruddhe Pradhan, Karthik Duraisamy
2021	J	`jnl`	Disentangling Generative Factors of Physical Fields Using Variational Autoencoders. CoRR Christian Jacobsen, Karthik Duraisamy
2021	J	`jnl`	Non-intrusive Balancing Transformation of Highly Stiff Systems with Lightly-damped Impulse Response. CoRR Elnaz Rezaian, Cheng Huang, Karthik Duraisamy
2021	J	`jnl`	Non-linear Independent Dual System (NIDS) for Discretization-independent Surrogate Modeling over Complex Geometries. CoRR James Duvall, Karthik Duraisamy, Shaowu Pan
2021	J	`jnl`	Variational Encoders and Autoencoders : Information-theoretic Inference and Closed-form Solutions. CoRR Karthik Duraisamy
2020	J	`jnl`	Physics-Informed Probabilistic Learning of Linear Embeddings of Nonlinear Dynamics with Guaranteed Stability. SIAM J. Appl. Dyn. Syst. Shaowu Pan, Karthik Duraisamy
2019	J	`jnl`	Entropy Conservative Schemes and the Receding Flow Problem. J. Sci. Comput. Ayoub Gouasmi, Scott M. Murman, Karthik Duraisamy
2019	J	`jnl`	Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics. CoRR Jiayang Xu, Karthik Duraisamy
2019	J	`jnl`	Prediction of Aerodynamic Flow Fields Using Convolutional Neural Networks. CoRR Yaser Afshar, Saakaar Bhatnagar, Shaowu Pan, Karthik Duraisamy, Shailendra Kaushik
2018	J	`jnl`	Data-Driven Discovery of Closure Models. SIAM J. Appl. Dyn. Syst. Shaowu Pan, Karthik Duraisamy
2018	J	`jnl`	Long-Time Predictive Modeling of Nonlinear Dynamical Systems Using Neural Networks. Complex. Shaowu Pan, Karthik Duraisamy
2018	J	`jnl`	Long-time predictive modeling of nonlinear dynamical systems using neural networks. CoRR Shaowu Pan, Karthik Duraisamy
2017	J	`jnl`	A dynamic subgrid scale model for Large Eddy Simulations based on the Mori-Zwanzig formalism. J. Comput. Phys. Eric J. Parish, Karthik Duraisamy
2016	J	`jnl`	A paradigm for data-driven predictive modeling using field inversion and machine learning. J. Comput. Phys. Eric J. Parish, Karthik Duraisamy
2016	J	`jnl`	Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils. CoRR Anand Pratap Singh, Shivaji Medida, Karthik Duraisamy
2016	C	`conf`	Parameter estimation in the Burgers equation using retrospective-cost model refinement. ACC Ankit Goel, Karthik Duraisamy, Dennis S. Bernstein
2015	J	`jnl`	Efficient Multiscale Gaussian Process Regression using Hierarchical Clustering. CoRR Ze Jia Zhang, Karthik Duraisamy, Nail A. Gumerov
2015	C	`conf`	Retrospective cost adaptive thrust control of a 1D scramjet with Mach number disturbance. ACC Ankit Goel, Antai Xie, Karthik Duraisamy, Dennis S. Bernstein
2011	A	`conf`	Liszt: a domain specific language for building portable mesh-based PDE solvers. SC 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