discrete variable

Exponential Family Variational Flow Matching for Tabular Data Generation ICML 2025 TFG-Flow: Training-free Guidance in Multimodal Generative Flow ICLR 2025 CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis ICML 2023 Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023 Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise AISTATS 2022 Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders EMNLP 2021 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021 Structure Learning of Undirected Graphical Models for Count Data JMLR 2021 A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NeurIPS 2020 Efficient Learning of Discrete Graphical Models NeurIPS 2020 Hybrid Copula Bayesian Networks PGM 2016 Flexible sampling of discrete data correlations without the marginal distributions NeurIPS 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 The Neural Autoregressive Distribution Estimator AISTATS 2011 HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010 Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004