Variational Autoencoders

Fairness Risks for Group-Conditionally Missing Demographics AISTATS 2025 Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds AISTATS 2025 i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation UAI 2025 Improved Variational Inference in Discrete VAEs using Error Correcting Codes UAI 2025 Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning ICLR 2025 Learning Optimal Prosody Embedding Codebook based on F0 and Energy Interspeech 2025 Task-Driven Discrete Representation Learning AISTATS 2025 Theoretical Convergence Guarantees for Variational Autoencoders AISTATS 2025 The VampPrior Mixture Model AISTATS 2025 Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion Interspeech 2025 Towards Marginal Fairness Sliced Wasserstein Barycenter ICLR 2025 V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat EMNLP 2025 When Humans Growl and Birds Speak: High-Fidelity Voice Conversion from Human to Animal and Designed Sounds Interspeech 2025 Amortized Variational Inference: When and Why? UAI 2024 Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation NeurIPS 2024 Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space ICLR 2024 Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping AAAI 2023 Gromov-Wasserstein Autoencoders ICLR 2023 Spherical Sliced-Wasserstein ICLR 2023 Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees ICLR 2023 AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE ACML 2022 Equivariant Priors for compressed sensing with unknown orientation ICML 2022 HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation ICLR 2022 The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders ICLR 2022 Disentangled Recurrent Wasserstein Autoencoder ICLR 2021