Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias. - Ravinder Bhattoo; Sayan Ranu; N. M. Anoop Krishnan (CoRR, 2021)

Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network. - Ravinder Bhattoo; Sayan Ranu; N. M. Anoop Krishnan (NeurIPS, 2022)

Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. - Abishek Thangamuthu; Gunjan Kumar; Suresh Bishnoi; Ravinder Bhattoo; N. M. Anoop Krishnan; Sayan Ranu (NeurIPS, 2022)

Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems. - Suresh Bishnoi; Ravinder Bhattoo; Sayan Ranu; N. M. Anoop Krishnan (CoRR, 2022)

Learning Rigid Body Dynamics with Lagrangian Graph Neural Network. - Ravinder Bhattoo; Sayan Ranu; N. M. Anoop Krishnan (CoRR, 2022)

Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. - Suresh Bishnoi; Ravinder Bhattoo; Jayadeva; Sayan Ranu; N. M. Anoop Krishnan (ICLR, 2023)

Learning the dynamics of particle-based systems with Lagrangian graph neural networks. - Ravinder Bhattoo; Sayan Ranu; N. M. Anoop Krishnan (Mach. Learn. Sci. Technol., 2023)

Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks. - Suresh Bishnoi; Ravinder Bhattoo; Jayadeva; Sayan Ranu; N. M. Anoop Krishnan (Mach. Learn. Sci. Technol., 2024)