1D Function Approximation on 1D Approximation Benchmark (train)
1.04Training MSEFourier Features
Evaluation results
| Method | Links | |
|---|---|---|
| Fourier Featureswidth=45, depth=6, scale σ=32, #modes M=64, #trainable-parameters=16 2012025.02 | 1.04 | |
| Fourier Featureswidth=50, depth=6, scale σ=64, #modes M=32, #trainable-parameters=16 0512025.02 | 1.06 | |
| Fourier Featureswidth=37, depth=6, scale σ=2, #modes M=128, #trainable-parameters=16 5772025.02 | 1.08 | |
| Fourier Featureswidth=50, depth=6, scale σ=32, #modes M=32, #trainable-parameters=16 0512025.02 | 1.3 | |
| Fourier Featureswidth=37, depth=6, scale σ=32, #modes M=128, #trainable-parameters=16 5772025.02 | 1.31 | |
| Fourier Featureswidth=50, depth=6, scale σ=1, #modes M=32, #trainable-parameters=16 0512025.02 | 1.36 | |
| Fourier Featureswidth=37, depth=6, scale σ=64, #modes M=128, #trainable-parameters=16 5772025.02 | 1.48 | |
| Fourier Featureswidth=50, depth=6, scale σ=128, #modes M=32, #trainable-parameters=16 0512025.02 | 1.55 | |
| Fourier Featureswidth=45, depth=6, scale σ=1, #modes M=64, #trainable-parameters=16 2012025.02 | 1.86 | |
| Fourier Featureswidth=50, depth=6, scale σ=4, #modes M=32, #trainable-parameters=16 0512025.02 | 2.51 | |
| Fourier Featureswidth=45, depth=6, scale σ=64, #modes M=64, #trainable-parameters=16 2012025.02 | 2.66 | |
| FMMNNwidth=200, rank=16, depth=6, #trainable-parameters=16 2812025.02 | 2.74 | |
| Fourier Featureswidth=45, depth=6, scale σ=4, #modes M=64, #trainable-parameters=16 2012025.02 | 2.85 | |
| Fourier Featureswidth=45, depth=6, scale σ=8, #modes M=64, #trainable-parameters=16 2012025.02 | 3.1 | |
| Fourier Featureswidth=45, depth=6, scale σ=128, #modes M=64, #trainable-parameters=16 2012025.02 | 3.19 | |
| Fourier Featureswidth=50, depth=6, scale σ=2, #modes M=32, #trainable-parameters=16 0512025.02 | 3.28 | |
| Fourier Featureswidth=50, depth=6, scale σ=8, #modes M=32, #trainable-parameters=16 0512025.02 | 3.5 | |
| Fourier Featureswidth=37, depth=6, scale σ=1, #modes M=128, #trainable-parameters=16 5772025.02 | 4.07 | |
| Fourier Featureswidth=37, depth=6, scale σ=128, #modes M=128, #trainable-parameters=16 5772025.02 | 4.76 | |
| Fourier Featureswidth=37, depth=6, scale σ=8, #modes M=128, #trainable-parameters=16 5772025.02 | 5.32 | |
| Fourier Featureswidth=50, depth=6, scale σ=16, #modes M=32, #trainable-parameters=16 0512025.02 | 5.44 | |
| Fourier Featureswidth=45, depth=6, scale σ=16, #modes M=64, #trainable-parameters=16 2012025.02 | 6.05 | |
| Fourier Featureswidth=45, depth=6, scale σ=2, #modes M=64, #trainable-parameters=16 2012025.02 | 7 | |
| Fourier Featureswidth=37, depth=6, scale σ=4, #modes M=128, #trainable-parameters=16 5772025.02 | 8.27 | |
| Fourier Featureswidth=37, depth=6, scale σ=16, #modes M=128, #trainable-parameters=16 5772025.02 | 9.89 |