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

Information Theoretic Pruning of Coupled Channels in Deep Neural Networks 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

Fitted Neural Lossless Image Compression CVPR 2025

Efficient Variational Sequential Information Control AISTATS 2024

Streaming Bayes GFlowNets NIPS 2024

Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024

TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024

Optimal Classification under Performative Distribution Shift NIPS 2024

Variational Gaussian Process Diffusion Processes AISTATS 2024

Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024

Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NIPS 2024

Generative Marginalization Models ICML 2024

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NIPS 2024

On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024

Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NIPS 2024

Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NIPS 2024

Variational Delayed Policy Optimization NIPS 2024

Bayesian Adaptive Calibration and Optimal Design NIPS 2024

Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024

On Divergence Measures for Training GFlowNets NIPS 2024

Variational Resampling AISTATS 2024

Modeling Random Networks with Heterogeneous Reciprocity JMLR 2024

WorDepth: Variational Language Prior for Monocular Depth Estimation CVPR 2024