| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR-10 (test) | NFDM | Bits/dim2.48 | 134 | 3d ago | |
| ImageNet 32x32 (test) | RNODE + STEER | Bits per Sub-pixel2.35 | 66 | 3d ago | |
| ImageNet 64x64 (test) | NFDM | Bits Per Sub-Pixel3.2 | 62 | 3d ago | |
| MNIST (test) | VAE | NLL (bits/dim)-3,408.16 | 56 | 3d ago | |
| binarized MNIST 28x28 (test) | PIXELCNN | Test LogL81.3 | 44 | 3d ago | |
| CIFAR-10 | VDM | bpd2.49 | 40 | 3d ago | |
| Fashion (test) | STEER | NLL (bits/dim)2.803 | 27 | 3d ago | |
| BSDS300 (test) | MAF-DDSF | NLL (nats)-157.73 | 25 | 3d ago | |
| GAS d=8; N=1,052,065 (test) | TAN | Avg Test Log-Likelihood12.06 | 25 | 3d ago | |
| LJ13 (test) | GrCNF | NLL-58.71 | 24 | 3d ago | |
| KMNIST (test) | UHA | Log-likelihood-170.2 | 20 | 3d ago | |
| Ocr-letters (test) | NADE | Avg Log-Likelihood (nats)-27.22 | 19 | 3d ago | |
| UCI Parkinsons (test) | RNADE | Avg Test Log-Likelihood-0.9 | 18 | 3d ago | |
| UCI White wine (test) | RNADE | Average Test Log-Likelihood-9.67 | 18 | 3d ago | |
| UCI Red wine (test) | RNADE | Avg Test Log-Likelihood-8.76 | 18 | 3d ago | |
| ImageNet 64 | Combiner-Axial | Bits-per-dimension3.42 | 16 | 3d ago | |
| OMNIGLOT dynamically binarized (test) | PixelVAE++ | NLL88.29 | 16 | 3d ago | |
| Volcano (test) | Riemannian flow matching | NLL-7.93 | 14 | 3d ago | |
| ImageNet 64x64 (val) | Bits/dim3.4 | 13 | 3d ago | ||
| ImageNet 32 x 32 | Efficient-VDVAE | NLL (bits/dim)3.58 | 12 | 3d ago | |
| Dynamic MNIST (test) | ByPE-ConvHVAE | NLL22.84 | 12 | 3d ago | |
| MNIST | ANF | bpd0.93 | 12 | 3d ago | |
| HEPMASS UCI (test) | TAN | Log-likelihood-13.78 | 12 | 3d ago | |
| MINIBOONE d=43; N=36,488 (test) | JKO-iFlow | Avg Test Log-Likelihood10.55 | 11 | 3d ago | |
| Yelp2 (test) | RNN | MMD0.03 | 10 | 2d ago |
