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

Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024

Optimising Distributions with Natural Gradient Surrogates AISTATS 2024

A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis NIPS 2024

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

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

Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NIPS 2024

Streaming Bayes GFlowNets NIPS 2024

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

Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024

Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024

A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification IJCAI 2024

Efficient Variational Sequential Information Control AISTATS 2024

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach AISTATS 2024

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

Structured Probabilistic Coding AAAI 2024

A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024

VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition IJCAI 2024

Sparse Variational Student-t Processes AAAI 2024

Variational Delayed Policy Optimization NIPS 2024

Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024

Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024

Variational Resampling AISTATS 2024

Generative Calibration of Inaccurate Annotation for Label Distribution Learning AAAI 2024

Stein Variational Ergodic Search RSS 2024