Ravinder Bhattoo

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 10

Top Topics

Dynamical Systems

Symbolic Description

Top Venues

Mach. Learn. Sci. Technol.

Publications

Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning the dynamics of particle-based systems with Lagrangian graph neural networks. Mach. Learn. Sci. Technol. 4 (1) (2023)
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks. CoRR (2023)
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. ICLR (2023)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks. CoRR (2022)
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. CoRR (2022)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network. NeurIPS (2022)
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. NeurIPS (2022)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning Rigid Body Dynamics with Lagrangian Graph Neural Network. CoRR (2022)
Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems. CoRR (2022)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias. CoRR (2021)