Research map / Probabilistic and scientific modeling / Variational and generative sampling
Approximate inference of marginals using the IBIA framework
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.
Closest papers by meaning
- Probabilistic Circuits for Variational Inference in Discrete Graphical Models (NeurIPS 2020 · similarity 0.88)
- Graphical model inference: Sequential Monte Carlo meets deterministic approximations (NeurIPS 2018 · similarity 0.88)
- Marginal Inference in Continuous Markov Random Fields Using Mixtures (AAAI 2019 · similarity 0.87)
- Maximum A Posteriori Inference in Sum-Product Networks (AAAI 2018 · similarity 0.87)
- TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing (NeurIPS 2024 · similarity 0.86)
- Total Variation Distance Meets Probabilistic Inference (ICML 2024 · similarity 0.86)
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.