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variational inference

2069 papers

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Also known as

VI

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