Supplementary: Training Generative Adversarial Networks by Solving Ordinary Differential Equations
–Neural Information Processing Systems
We include analysis on the effects of regularisation on the truncation error (Section D). Update rules for the ODE solvers considered in the main paper are presented in Section E. The connections between our method and Consensus optimisation, SGA and extragradient are reported in Section F. Further details of experiments/additional experimental results are in Section G-H. Image samples are shown in Section I.
Neural Information Processing Systems
Jan-23-2025, 15:21:03 GMT