Deep Energy-Based Modeling of Discrete-Time Physics

21 May 2019Takashi MatsubaraAi IshikawaTakaharu Yaguchi

Physical phenomena in the real world are often described by energy-based modeling theories, such as Hamiltonian mechanics or the Landau theory, which yield various physical laws. Recent developments in neural networks have enabled the mimicking of the energy conservation law by learning the underlying continuous-time differential equations... (read more)

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