Ravinder Bhattoo

11 papers A* 3Journal 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks.
Mach. Learn. Sci. Technol.
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2023 J jnl
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks.
CoRR
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2023 A* conf
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems.
ICLR
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2023 J jnl
Learning the dynamics of particle-based systems with Lagrangian graph neural networks.
Mach. Learn. Sci. Technol.
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022 J jnl
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems.
CoRR
Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022 A* conf
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network.
NeurIPS
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022 J jnl
Learning Rigid Body Dynamics with Lagrangian Graph Neural Network.
CoRR
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022 J jnl
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks.
CoRR
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022 A* conf
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems.
NeurIPS
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
2022 J jnl
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems.
CoRR
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
2021 J jnl
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias.
CoRR
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan