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

Optimal Classification under Performative Distribution Shift NIPS 2024

Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024

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

Parametric model reduction of mean-field and stochastic systems via higher-order action matching NIPS 2024

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

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

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024

Safe Abductive Learning in the Presence of Inaccurate Rules AAAI 2024

eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024

Structured Probabilistic Coding AAAI 2024

Taming Mode Collapse in Score Distillation for Text-to-3D Generation CVPR 2024

Approximation-Aware Bayesian Optimization NIPS 2024

Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NIPS 2024

Adversarial Purification with the Manifold Hypothesis AAAI 2024

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024

Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NIPS 2024

On the Quantification of Image Reconstruction Uncertainty Without Training Data WACV 2024

Probabilistic Integral Circuits AISTATS 2024

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

Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024

Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024

VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 2024

Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models ACL 2024

Additive smoothing error in backward variational inference for general state-space models JMLR 2024