variational inference

2069 papers

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Also known as

VI-NET VRNN VBI SVI VIBE VQ-VAE ADVI VARNET MCVI PARVI SAVI VI VAE VMP VB BBVI ELBO VIB

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

Autoregressive Speech Synthesis without Vector Quantization ACL 2025

Information Theoretic Pruning of Coupled Channels in Deep Neural Networks WACV 2025

Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation WACV 2025

HYDEN: Hyperbolic Density Representations for Medical Images and Reports COLING 2025

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction IJCAI 2025

Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models EMNLP 2025

Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms JMLR 2025

Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights JMLR 2025

Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025

Flow Matching Ergodic Coverage RSS 2025

Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction AAAI 2025

Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions RSS 2025

FedHB: Hierarchical Bayesian Federated Learning JMLR 2025

Open-World Objectness Modeling Unifies Novel Object Detection CVPR 2025

ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts ICCV 2025

Structured IB: Improving Information Bottleneck with Structured Feature Learning AAAI 2025

Learning Set Functions with Implicit Differentiation AAAI 2025

Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025

Hierarchical Variational Test-Time Prompt Generation for Zero-Shot Generalization ICCV 2025

Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling AAAI 2025

Text-to-Any-Skeleton Motion Generation Without Retargeting ICCV 2025

Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning WACV 2025

On the Natural Gradient of the Evidence Lower Bound JMLR 2025

Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers CVPR 2025

Probability Density Geodesics in Image Diffusion Latent Space CVPR 2025