An attempt to generate new bridge types from latent space of energy-based model

Use energy-based model for bridge-type innovation. The loss function is explained by the game theory, the logic is clear and the formula is simple and clear. Thus avoid the use of maximum likelihood estimation to explain the loss function and eliminate the need for Monte Carlo methods to solve the normalized denominator. Assuming that the bridge-type population follows a Boltzmann distribution, a neural network is constructed to represent the energy function. Use Langevin dynamics technology to generate a new sample …

bridge clear cs.ai cs.lg energy explained function game game theory generate innovation likelihood logic loss maximum likelihood estimation simple space theory type types