discrete data

Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Fisher Flow Matching for Generative Modeling over Discrete Data NeurIPS 2024 Learning Discrete Latent Variable Structures with Tensor Rank Conditions NeurIPS 2024 Simplified and Generalized Masked Diffusion for Discrete Data NeurIPS 2024 A Cheaper and Better Diffusion Language Model with Soft-Masked Noise EMNLP 2023 Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models ICLR 2023 A Continuous Time Framework for Discrete Denoising Models NeurIPS 2022 Concrete Score Matching: Generalized Score Matching for Discrete Data NeurIPS 2022 Generative Flow Networks for Discrete Probabilistic Modeling ICML 2022 The AIM and EM Algorithms for Learning from Coarse Data JMLR 2022 Two-way Sparse Network Inference for Count Data AISTATS 2022 Structure Learning of Undirected Graphical Models for Count Data JMLR 2021 Deterministic Decoding for Discrete Data in Variational Autoencoders AISTATS 2020 Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More ICML 2020 Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data JMLR 2020 Variational Autoencoders for Sparse and Overdispersed Discrete Data AISTATS 2020 CoT: Cooperative Training for Generative Modeling of Discrete Data ICML 2019 Discrete Object Generation with Reversible Inductive Construction NeurIPS 2019 Testing Conditional Independence on Discrete Data using Stochastic Complexity AISTATS 2019 Boundary Seeking GANs ICLR 2018 Causal Discovery from Discrete Data using Hidden Compact Representation NeurIPS 2018 Unsupervised Cipher Cracking Using Discrete GANs ICLR 2018 Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information AISTATS 2016 Identifying Cause and Effect on Discrete Data using Additive Noise Models AISTATS 2010