wasserstein autoencoder

An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning AAAI 2025 A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data ICLR 2024 StrWAEs to Invariant Representations ICML 2024 Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering NeurIPS 2023 Adversarial Interpretation of Bayesian Inference ALT 2022 Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning NeurIPS 2022 FlexAE: flexibly learning latent priors for wasserstein auto-encoders UAI 2021 Improving Gaussian mixture latent variable model convergence with Optimal Transport ACML 2021 Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency NeurIPS 2021 Learning Autoencoders with Relational Regularization ICML 2020 Learning to Learn Single Domain Generalization CVPR 2020 Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions IJCAI 2020 Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders EMNLP 2019 Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019 Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation NAACL 2019 Topic Modeling with Wasserstein Autoencoders ACL 2019 Adversarially Regularized Autoencoders ICML 2018