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ecb662a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | Source: https://ar5iv.labs.arxiv.org/html/2605.31369 Retrieved: 2026-07-29T11:22:44Z Full HTML SHA-256: 9e465ccada2014404d315c46108399b4ee49693d09d9866ff3dbd426045fd30a Section 5.3: "For f-divergences, JKO yields moderate yet consistent improvements." The complete reported CIFAR-10 FID table: Divergence,noJKO,tau=0.01,tau=1,tau=100 ckMMD,13.96,129.38,12.78,14.12 chi2,15.60,22.26,15.01,15.87 KL,15.78,26.94,15.47,17.28 KL-DV,16.68,25.19,16.56,16.88 MMD,49.39,28.36,15.76,21.43 Shannon,14.60,32.24,15.92,15.23 sMMD,59.79,135.27,26.79,55.59 Wasserstein-1,35.37,22.66,28.91,35.35 Appendix complementary table: "The runs used in this table correspond to different random seeds than those reported in Table 4, which explains the slight differences in FID values." Divergence,noJKO,tau=0.01,tau=1,tau=100 ckMMD,13.16,241.52,13.42,14.41 chi2,17.93,23.16,17.39,17.63 KL,17.62,34.54,18.30,19.13 KL-DV,17.98,24.46,18.72,18.86 MMD,25.48,28.16,16.39,46.62 Shannon,16.84,31.53,17.26,16.87 sMMD,62.58,106.66,25.73,47.09 Wasserstein-1,36.77,22.75,33.34,41.57 Authors' code mapping at revision 6633b553a244634bd2c2e1142603aad1c1fbe55a: README.md: "f-divergences (KL, chi², Jensen-Shannon)" README.md divergence flag: "KL_DV, KL, MMD, Shannon, chi2, Wasserstein-1" losses.py labels the softplus GAN loss branch as "Shannon" and states that "Jensen-Shannon" is the corresponding symmetric divergence. |