variational autoencoder

The VampPrior Mixture Model AISTATS 2025 Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency CVPR 2025 Towards Fair Graph Learning without Demographic Information AISTATS 2025 Towards Marginal Fairness Sliced Wasserstein Barycenter ICLR 2025 Transfer learning in latent contextual bandits with covariate shift through causal transportability CLeaR 2025 UHD-processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-aware Prompts CVPR 2025 Unleashing Vecset Diffusion Model for Fast Shape Generation ICCV 2025 Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise WACV 2025 USP: Unified Self-Supervised Pretraining for Image Generation and Understanding ICCV 2025 UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping CVPR 2025 VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction COLING 2025 VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology ICLR 2025 VAFlow: Video-to-Audio Generation with Cross-Modality Flow Matching ICCV 2025 Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation IJCAI 2025 Variational Learning of Fractional Posteriors ICML 2025 VideoVAE+: Large Motion Video Autoencoding with Cross-modal Video VAE ICCV 2025 V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat EMNLP 2025 Zero-Shot Styled Text Image Generation, but Make It Autoregressive CVPR 2025 αTC-VAE: On the relationship between Disentanglement and Diversity ICLR 2024 t^3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence ICLR 2024 A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NeurIPS 2024 A Causal Approach for Counterfactual Reasoning in Narratives ACL 2024 Accelerating Relative Entropy Coding with Space Partitioning NeurIPS 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification AAAI 2024