latent space model

Detecting Machine-Generated Long-Form Content with Latent-Space Variables EMNLP 2024 Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024 The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models ICLR 2024 An Eigenmodel for Dynamic Multilayer Networks JMLR 2023 Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control EMNLP 2023 Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective ICLR 2023 Community detection in sparse latent space models JMLR 2022 Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs AAAI 2021 NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces CVPR 2021 Offline Reinforcement Learning from Images with Latent Space Models L4DC 2021 On the Estimation of Network Complexity: Dimension of Graphons JMLR 2021 Planning from Pixels using Inverse Dynamics Models ICLR 2021 A Flexible Latent Space Model for Multilayer Networks ICML 2020 Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors NeurIPS 2020 Maximum Likelihood Embedding of Logistic Random Dot Product Graphs AAAI 2020 Sequential Recommendation with Relation-Aware Kernelized Self-Attention AAAI 2020 Universal Latent Space Model Fitting for Large Networks with Edge Covariates JMLR 2020 DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019 Information Maximizing Visual Question Generation CVPR 2019 Information-theoretic Limits for Community Detection in Network Models NeurIPS 2018 Bayesian Learning of Dynamic Multilayer Networks JMLR 2017 From which world is your graph NeurIPS 2017 Learning Latent Space Models with Angular Constraints ICML 2017 Uncorrelation and Evenness: a New Diversity-Promoting Regularizer ICML 2017 Latent Space Inference of Internet-Scale Networks JMLR 2016