Lagrangian basis method for dimensionality reduction of convection dominated nonlinear flows. - Rambod Mojgani; Maciej Balajewicz (CoRR, 2017)

Physics-aware registration based auto-encoder for convection dominated PDEs. - Rambod Mojgani; Maciej Balajewicz (CoRR, 2020)

Low-Rank Registration Based Manifolds for Convection-Dominated PDEs. - Rambod Mojgani; Maciej Balajewicz (AAAI, 2021)

Closed-form discovery of structural errors in models of chaotic systems by integrating Bayesian sparse regression and data assimilation. - Rambod Mojgani; Ashesh Chattopadhyay; Pedram Hassanzadeh (CoRR, 2021)

Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks. - Rambod Mojgani; Maciej Balajewicz; Pedram Hassanzadeh (CoRR, 2022)

Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges. - Karan Jakhar; Yifei Guan; Rambod Mojgani; Ashesh Chattopadhyay; Pedram Hassanzadeh; Laura Zanna (CoRR, 2023)

Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence. - Rambod Mojgani; Daniel Wälchli; Yifei Guan; Petros Koumoutsakos; Pedram Hassanzadeh (CoRR, 2023)