Research map / Probabilistic and scientific modeling / Variational and generative sampling
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick
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
- CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator (NeurIPS 2021 · similarity 0.86)
- A Black-Box Debiasing Framework for Conditional Sampling (NeurIPS 2025 · similarity 0.83)
- Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees (NeurIPS 2025 · similarity 0.82)
- Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design (NeurIPS 2026 · similarity 0.82)
- Forward $\chi^2$ Divergence Based Variational Importance Sampling (ICLR 2024 · similarity 0.82)
- Bayesian Additive Distribution Regression (NeurIPS 2026 · similarity 0.82)
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.
