Karthik Duraisamy

1. Turbulence Modeling in the Age of Data
   2018/09/19 by Karthik Duraisamy, Gianluca Iaccarino, Heng Xiao · 76 citations
   Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Fluid Dynamics and Turbulent Flows
2. Modal Analysis of Fluid Flows: Applications and Outlook
   2019/03/13 by Kunihiko Taira, Maziar S. Hemati, Taira, Kunihiko +13 · 12 citations
   Engineering · Physics and Astronomy · #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis #Model Reduction and Neural Networks
3. CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems
   2023/12/16 by Christian Jacobsen, Yilin Zhuang, Jacobsen, Christian +3 · 9 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Computational Physics and Python Applications
4. Generalizable Physics-constrained Modeling using Learning and Inference assisted by Feature Space Engineering
   2021/03/30 by Vishal Srivastava, Srivastava, Vishal, Karthik Duraisamy +1 · 1 citation
   Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Model Reduction and Neural Networks #Turbomachinery Performance and Optimization
5. Variational Multi-scale Super-resolution : A data-driven approach for reconstruction and predictive modeling of unresolved physics
   2021/01/25 by Aniruddhe Pradhan, Pradhan, Aniruddhe, Karthik Duraisamy +1 · 1 citation
   Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Advanced Mathematical Modeling in Engineering #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Model Reduction and Neural Networks #Seismic Imaging and Inversion Techniques
6. Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems
   2021/09/15 by Jiayang Xu, Xu, Jiayang, Aniruddhe Pradhan +4 · 1 citation
   Physics and Astronomy · Engineering · Computer Science · #Model Reduction and Neural Networks #Lattice Boltzmann Simulation Studies #Generative Adversarial Networks and Image Synthesis
7. Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse Observations
   2024/08/30 by Yilin Zhuang, Zhuang, Yilin, Sibo Cheng +3 · 2 citations
   Earth and Planetary Sciences · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Geological Modeling and Analysis #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods #Satellite Image Processing and Photogrammetry
8. Disentangling Generative Factors of Physical Fields Using Variational Autoencoders
   2021/09/15 by Christian Jacobsen, Jacobsen, Christian, Karthik Duraisamy +1 · 1 citation
   Computer Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
9. On the lifting and reconstruction of nonlinear systems with multiple invariant sets
   2023/04/24 by Shaowu Pan, Pan, Shaowu, Karthik Duraisamy +1 · 1 citation
   Computer Science · Mathematics · Physics and Astronomy · #37M10 #37M25 #47B33 #62F15 #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Fusion and Plasma Physics Studies #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth #Nonlinear Dynamics and Pattern Formation
10. Finite Sample Analysis and Bounds of Generalization Error of Gradient Descent in In-Context Linear Regression
    2024/05/03 by Karthik Duraisamy, Duraisamy, Karthik · 1 citation
    Computer Science · Engineering · Medicine · #62J05 #68T10 #FOS: Mathematics #Face and Expression Recognition #Infrared Target Detection Methodologies #Infrared Thermography in Medicine #Numerical Analysis (math.NA) #Probability (math.PR) #Statistics Theory (math.ST)
11. Model Reduction for Multi-Scale Transport Problems using Model-form Preserving Least-Squares Projections with Variable Transformation
    2020/11/04 by Cheng Huang, Christopher Wentland, Huang, Cheng +5 · 1 citation
    Physics and Astronomy · Mathematics · Engineering · #Model Reduction and Neural Networks #Numerical methods for differential equations #Vehicle Dynamics and Control Systems
12. Deterministic and Probabilistic Rounding Error Analysis for Mixed-Precision Arithmetic on Modern Computing Units
    2024/11/27 by Sahil Bhola, Karthik Duraisamy, Bhola, Sahil +1 · 1 citation
    Computer Science · Mathematics · Engineering · #Numerical Methods and Algorithms #Statistical and numerical algorithms #Advanced Numerical Analysis Techniques
13. LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting
    2025/06/10 by Yilin Zhuang, Karthik Duraisamy, Zhuang, Yilin +1 · 2 citations
    Earth and Planetary Sciences · Environmental Science · Engineering · #Meteorological Phenomena and Simulations #Climate variability and models #Traffic Prediction and Management Techniques