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

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

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

Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms JMLR 2025

Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025

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

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

Flow Matching Ergodic Coverage RSS 2025

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

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

Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025

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

Diffusion Model is Effectively Its Own Teacher CVPR 2025

Probability Density Geodesics in Image Diffusion Latent Space CVPR 2025

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models CVPR 2025

A Variational Approach for Mitigating Entity Bias in Relation Extraction ACL 2025

Scalable and Adaptive Variational Bayes Methods for Hawkes Processes JMLR 2025

Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models ACL 2025

Structured IB: Improving Information Bottleneck with Structured Feature Learning AAAI 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

Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses JMLR 2025

MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition ICCV 2025

On the Natural Gradient of the Evidence Lower Bound JMLR 2025

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

Structural Entropy Guided Probabilistic Coding AAAI 2025