Research map / Probabilistic and scientific modeling / Variational and generative sampling
Maximum Entropy Flow Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Include entropy maximization in place of texture feature matching alone | MEFN versus Texture net · Texture synthesis | d_L^2: 11534 -> 17014 | Helped |
| Include entropy maximization in place of texture feature matching alone | MEFN versus Texture net · Texture synthesis | SST: 128680 -> 175604 | Helped |
| Include entropy maximization in place of texture feature matching alone | MEFN versus Texture net · Texture synthesis | SSW: 109577 -> 161639 | Helped |
| Include entropy maximization in place of texture feature matching alone | MEFN versus Texture net · Texture synthesis | SSB: 19103 -> 13964 | Helped |
| Use MEFN rather than the Gibbs approach | Risk-neutral asset pricing · AAPL European call options, held-out test data | root mean square error | No clear effect |
| Train the network to match moments without maximizing entropy (ablation) | MEFN · Known-solution Dirichlet maximum-entropy problem | sample diversity | Hurt |
| Use MEFN rather than Texture net | Texture synthesis · Texture synthesis across tested textures | visual diversity | Mixed |
Closest papers by meaning
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