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ResearchFormerly WizWand

LD-weighted PDF reconstruction on Duffing equation

0.0001KL DivergenceRC
-0.0245760.1417280.3080310.474334Apr 1, 2026
Updated 7mo ago

Evaluation results

MethodLinks
RCNumber of training trajectories N=2002026.040.0001
RCNumber of training trajectories N=3002026.040.0001
GHNNNumber of training trajectories N=5002026.040.0001
GHNNNumber of training trajectories N=4002026.040.0002
GHNNNumber of training trajectories N=3002026.040.0003
SympNetNumber of training trajectories N=3002026.040.0003
HénonNetNumber of training trajectories N=4002026.040.0004
GHNNNumber of training trajectories N=502026.040.0006
SympNetNumber of training trajectories N=5002026.040.0007
RCNumber of training trajectories N=5002026.040.0008
SympNetNumber of training trajectories N=4002026.040.001
GHNNNumber of training trajectories N=1002026.040.001
SympNetNumber of training trajectories N=2002026.040.0013
GHNNNumber of training trajectories N=2002026.040.0028
HénonNetNumber of training trajectories N=3002026.040.0046
GHNNNumber of training trajectories N=202026.040.0071
HénonNetNumber of training trajectories N=2002026.040.008
RCNumber of training trajectories N=4002026.040.008
HénonNetNumber of training trajectories N=5002026.040.008
HénonNetNumber of training trajectories N=1002026.040.0107
HénonNetNumber of training trajectories N=502026.040.0184
RCNumber of training trajectories N=1002026.040.102
RCNumber of training trajectories N=102026.040.107
HénonNetNumber of training trajectories N=102026.040.176
HénonNetNumber of training trajectories N=202026.040.18
SympNetNumber of training trajectories N=202026.040.212
SympNetNumber of training trajectories N=1002026.040.213
SympNetNumber of training trajectories N=102026.040.217
GHNNNumber of training trajectories N=102026.040.217
SympNetNumber of training trajectories N=502026.040.219
RCNumber of training trajectories N=502026.040.359
RCNumber of training trajectories N=202026.040.616