Multimodal Distribution Matching on 8-Gaussian synthetic landscape
0.001Last-epoch L1 DistanceBoosted GFlowNet (3 models, flow-additive)
Evaluation Results
| Method | Links | |
|---|---|---|
| Boosted GFlowNet (3 models, flow-additive)Noise level (epsilon)=0.2, Sample size (n)=62025.11 | 0.001 | |
| Single GFlowNetNoise level (epsilon)=0.3, Sample size (n)=62025.11 | 0.001 | |
| Boosted GFlowNet (3 models, flow-additive)Noise level (epsilon)=0.3, Sample size (n)=62025.11 | 0.001 | |
| Boosted GFlowNet (2 models, flow-additive)Noise level (epsilon)=0.3, Sample size (n)=62025.11 | 0.0011 | |
| Single GFlowNetNoise level (epsilon)=0.2, Sample size (n)=62025.11 | 0.0012 | |
| Single GFlowNetNoise level (epsilon)=0.4, Sample size (n)=62025.11 | 0.0012 | |
| Boosted GFlowNet (2 models, flow-additive)Noise level (epsilon)=0.2, Sample size (n)=62025.11 | 0.0012 | |
| Boosted GFlowNet (3 models, flow-additive)Noise level (epsilon)=0.1, Sample size (n)=62025.11 | 0.0012 | |
| Boosted GFlowNet (3 models, flow-additive)Noise level (epsilon)=0.4, Sample size (n)=62025.11 | 0.0012 | |
| Boosted GFlowNet (2 models, flow-additive)Noise level (epsilon)=0.4, Sample size (n)=62025.11 | 0.0013 | |
| Boosted GFlowNet (3 models, flow-additive)Noise level (epsilon)=0, Sample size (n)=62025.11 | 0.0013 | |
| Boosted GFlowNet (2 models, flow-additive)Noise level (epsilon)=0.1, Sample size (n)=62025.11 | 0.0014 | |
| Boosted GFlowNet (3 models, flow-additive)Noise level (epsilon)=0.5, Sample size (n)=62025.11 | 0.0014 | |
| Boosted GFlowNet (2 models, flow-additive)Noise level (epsilon)=0.5, Sample size (n)=62025.11 | 0.0015 | |
| Boosted GFlowNet (2 models, flow-additive)Noise level (epsilon)=0, Sample size (n)=62025.11 | 0.0016 | |
| Single GFlowNetNoise level (epsilon)=0.5, Sample size (n)=62025.11 | 0.0017 | |
| Single GFlowNetNoise level (epsilon)=0, Sample size (n)=62025.11 | 0.0018 | |
| Single GFlowNetNoise level (epsilon)=0.1, Sample size (n)=62025.11 | 0.0018 |