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My_numpy_NODE

  • dx / dt = Ax, t0=0, t1=1, x(t1)=[1, 1], A = [[1, 2],[-2, 1]] -- find x(0) = [?, ?] ode_init

  • dx / dt = Ax, x(t1)=[1, 1], find t0=?,t1=?,A=?
    example ode_init_model example ode_init_model_t_0_1

  • dx / dt = Ax = f_{NN}(x), x(t1)=[1, 1] , t0=?,t1=?,f's parameters=?
    example ode_nn

  • Continuous Normalizing Flows example CNF1 example CNF2

References

[1] Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud. "Neural Ordinary Differential Equations." Advances in Neural Information Processing Systems. 2018. [arxiv]

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