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cs.LG2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva +2
The time evolution of physical systems is described by differential equations, which depend on abstract quantities like energy and force. Traditionally, these quantities are derive…
cs.LG2023
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics
Suresh Bishnoi, Jayadeva, Sayan Ranu +1
Neural networks (NNs) that exploit strong inductive biases based on physical laws and symmetries have shown remarkable success in learning the dynamics of physical systems directly…