conftrace_

discrete datum

21 papers

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Co-occurring keywords

generative model (2892) causal discovery (460) probabilistic modeling (852) count datum (17) masked diffusion (8) cross-entropy loss (151) energy-based model (251) variational autoencoder (1288) diffusion model (3751) markov chain (207)

Papers

Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions NIPS 2024
Simplified and Generalized Masked Diffusion for Discrete Data NIPS 2024
Fisher Flow Matching for Generative Modeling over Discrete Data NIPS 2024
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise EMNLP 2023
Concrete Score Matching: Generalized Score Matching for Discrete Data NIPS 2022
The AIM and EM Algorithms for Learning from Coarse Data JMLR 2022
Two-way Sparse Network Inference for Count Data AISTATS 2022
A Continuous Time Framework for Discrete Denoising Models NIPS 2022
Generative Flow Networks for Discrete Probabilistic Modeling ICML 2022
Structure Learning of Undirected Graphical Models for Count Data JMLR 2021
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
Deterministic Decoding for Discrete Data in Variational Autoencoders AISTATS 2020
Discrete Object Generation with Reversible Inductive Construction NIPS 2019
Testing Conditional Independence on Discrete Data using Stochastic Complexity AISTATS 2019
CoT: Cooperative Training for Generative Modeling of Discrete Data ICML 2019
Causal Discovery from Discrete Data using Hidden Compact Representation NIPS 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