Research map / Probabilistic and scientific modeling / Variational and generative sampling
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Enable backpropagation through latent state transitions | DVBF-LL versus DKF · Pendulum | R² for angular velocity: 0.035 -> 0.916 | Helped |
| Enable backpropagation through latent state transitions | DVBF-LL versus DKF · Pendulum | Lower Bound: 784.70 -> 798.56 | Helped |
| Use DVBF-LL instead of DKF | Pendulum · Pendulum | R² for cos(φ): 0.979 -> 0.982 | Helped |
| Use DVBF-LL instead of DKF | Pendulum · Pendulum | R² for sin(φ): 0.929 -> 0.961 | Mixed |
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