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Variational Inference

1946 directly classified papers

Papers per year

Papers

USP: Unified Self-Supervised Pretraining for Image Generation and Understanding ICCV 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025
Unity in Diversity: Video Editing via Gradient-Latent Purification CVPR 2025
Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder CVPR 2025
Enhance Vision-Language Alignment with Noise AAAI 2025
Capturing Latent Modal Association For Multimodal Entity Alignment EMNLP 2025
Representing 3D Shapes with 64 Latent Vectors for 3D Diffusion Models ICCV 2025
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder CONLL 2025
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder ACL 2025
Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning WACV 2025
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis AAAI 2025
BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation ACL 2025
CLASS: Conditional Latent Architecture for Search and Synthesis of Design Layouts WACV 2025
Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians ICCV 2025
DGTalker: Disentangled Generative Latent Space Learning for Audio-Driven Gaussian Talking Heads ICCV 2025
LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models ICCV 2025
Multimodal Variational Autoencoder: A Barycentric View AAAI 2025
Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration ICCV 2025
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion ICCV 2025
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals CVPR 2025
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation CVPR 2025
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation AAAI 2025
Prototype Conditioned Generative Replay for Continual Learning in NLP NAACL 2025