probabilistic generative model

Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024 An Ordinal Latent Variable Model of Conflict Intensity ACL 2023 GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks ICLR 2023 Variational Neural Cellular Automata ICLR 2022 Learning from Demonstration with Weakly Supervised Disentanglement ICLR 2021 Neural Temporal Point Processes: A Review IJCAI 2021 Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning ICCV 2021 A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing ACL 2020 A Variational Point Process Model for Social Event Sequences AAAI 2020 Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020 Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact EMNLP 2020 Leveraging 2D Data to Learn Textured 3D Mesh Generation CVPR 2020 A Probabilistic Generative Model of Linguistic Typology NAACL 2019 A Variational Auto-Encoder Model for Stochastic Point Processes CVPR 2019 Differentially Private Community Detection in Attributed Social Networks ACML 2019 Enhancing Unsupervised Generative Dependency Parser with Contextual Information ACL 2019 Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics MLHC 2019 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NeurIPS 2019 Model-based targeted dimensionality reduction for neuronal population data NeurIPS 2018 What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NeurIPS 2013 Hierarchical spike coding of sound NeurIPS 2012 Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012 Subset Infinite Relational Models AISTATS 2012 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010 Occlusive Components Analysis NeurIPS 2009