Bayesian neural network regression on Kin8nm (test)
0.087RMSEPBRWP
Evaluation Results
| Method | Links | |
|---|---|---|
| PBRWP2025.09 | 0.087 | |
| Adamruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 0.089 | |
| ARWPruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=10, optimization=Nesterov2026.01 | 0.089 | |
| BRWPruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 0.089 | |
| Adam2025.09 | 0.089 | |
| BRWP2025.09 | 0.089 | |
| AIGruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 0.094 | |
| AIG2025.09 | 0.094 | |
| SVGDruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 0.095 | |
| SVGD2025.09 | 0.095 | |
| WGFruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 0.096 | |
| WGF2025.09 | 0.096 |