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ResearchFormerly WizWand

Density Estimation on Noisy torus distributions

-3.178NLLOracle
-3.37888-2.02294-0.6670.68894May 13, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Oracled=50, n=40962026.05-3.178
Oracled=30, n=40962026.05-3.026
Oracled=20, n=40962026.05-2.788
Oracled=10, n=40962026.05-1.907
NNKDEfined=30, n=40962026.05-1.231
NNKDEfined=20, n=40962026.05-1.02
NNKDEfined=50, n=40962026.05-1.014
Abramsond=50, n=40962026.05-0.854
LCVd=50, n=40962026.05-0.838
Oracled=3, n=40962026.05-0.837
Abramsond=30, n=40962026.05-0.637
LCVd=30, n=40962026.05-0.634
NNKDEfined=10, n=40962026.05-0.591
LCVd=20, n=40962026.05-0.431
Abramsond=20, n=40962026.05-0.43
Oracled=5, n=40962026.05-0.387
Silvermand=50, n=40962026.05-0.179
Silvermand=30, n=40962026.050.006
LCVd=10, n=40962026.050.022
Abramsond=10, n=40962026.050.026
NNKDEfined=3, n=40962026.050.064
Silvermand=20, n=40962026.050.185
kNNd=3, n=40962026.050.302
NNKDEfined=5, n=40962026.050.44
Oracled=2, n=40962026.050.498
NNKDEpred=20, n=40962026.050.5
LCVd=3, n=40962026.050.553
Abramsond=3, n=40962026.050.554
Silvermand=10, n=40962026.050.564
kNNd=50, n=40962026.050.623
LCVd=5, n=40962026.050.65
Abramsond=5, n=40962026.050.654
NNKDEpred=30, n=40962026.050.657
kNNd=30, n=40962026.050.681
kNNd=20, n=40962026.050.734
NNKDEpred=3, n=40962026.050.743
NNKDEpred=10, n=40962026.050.794
NNKDEpred=50, n=40962026.050.841
kNNd=2, n=40962026.050.897
NNKDEpred=5, n=40962026.050.957
NNKDEscratchd=50, n=40962026.050.974
NNKDEscratchd=20, n=40962026.050.988
Silvermand=3, n=40962026.051.004
kNNd=10, n=40962026.051.009
NNKDEfined=2, n=40962026.051.022
Silvermand=5, n=40962026.051.047
NNKDEscratchd=30, n=40962026.051.049
LCVd=2, n=40962026.051.107
Abramsond=2, n=40962026.051.107
NNKDEscratchd=10, n=40962026.051.201
NNKDEpred=2, n=40962026.051.294
kNNd=5, n=40962026.051.345
Silvermand=2, n=40962026.051.437
NNKDEscratchd=5, n=40962026.051.555
NNKDEscratchd=3, n=40962026.051.594
NNKDEscratchd=2, n=40962026.051.844