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ratio matching

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generative model (2) restricted boltzmann machine (2) importance sampling (2) energy-based model (1) discrete diffusion (1) discrete data (1) continuous-time markov chain (1) sparse data (1) neural network (1) perplexity bound (1)

Papers

Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models ICLR 2025 Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models ICLR 2023 Generative Ratio Matching Networks ICLR 2020 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NeurIPS 2013 Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010