Research map / Probabilistic and scientific modeling / Variational and generative sampling
Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| VarBOLT (unsupervised) vs NFHMM unsupervised baseline | VarBOLT · REDD overall panel | GSPA: 0.25 -> 0.63 | Helped |
| VarBOLT unsupervised vs supervised AFAMAP | VarBOLT · REDD circuits (precision/recall) | precision / recall: Electronics precision 41.6% -> 87.8%; Microwave recall 66.1% -> 8.0% | Mixed |
| VarBOLT vs AFAMAP on Kitchen Outlets 2 precision | VarBOLT · REDD Kitchen Outlets 2 | precision: 45.2% -> 5.3% | Hurt |
| stop gradient of W flowing into sigma* (ablation) | VarBOLT · REDD | component waveform quality | Helped |
Closest papers by meaning
- Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages (NeurIPS 2016 · similarity 0.89)
- Variational Boosting: Iteratively Refining Posterior Approximations (ICML 2017 · similarity 0.86)
- Online Variational Filtering and Parameter Learning (NeurIPS 2021 · similarity 0.86)
- Variational Inference and Model Selection with Generalized Evidence Bounds (ICML 2018 · similarity 0.86)
- Collapsed variational Bayes for Markov jump processes (NeurIPS 2017 · similarity 0.86)
- Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians (ICML 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.