Variational Inference

Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency WACV 2025 Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis ICLR 2025 Counterfactual Generative Modeling with Variational Causal Inference ICLR 2025 Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement AAAI 2025 Creative Synthesis of Kinematic Mechanisms NeurIPS 2025 CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder AAAI 2025 CtrlShift: Steering Language Models for Dense Quotation Retrieval with Dynamic Prompts IJCNLP 2025 CViT: Continuous Vision Transformer for Operator Learning ICLR 2025 Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion ICCV 2025 Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses JMLR 2025 Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025 DGTalker: Disentangled Generative Latent Space Learning for Audio-Driven Gaussian Talking Heads ICCV 2025 Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration ICCV 2025 DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025 Discrete Curvature Graph Information Bottleneck AAAI 2025 Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables ICLR 2025 Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation WACV 2025 Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders CVPR 2025 DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration AAAI 2025 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization ICCV 2025 ELBOing Stein: Variational Bayes with Stein Mixture Inference ICLR 2025 End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler ICLR 2025 Enhance Vision-Language Alignment with Noise AAAI 2025