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

Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting ICML 2023

Indeterminacy in Generative Models: Characterization and Strong Identifiability AISTATS 2023

MixFlows: principled variational inference via mixed flows ICML 2023

Perceptual Improvement of Deep Neural Network (DNN) Speech Coder Using Parametric and Non-parametric Density Models INTERSPEECH 2023

Bayesian Prompt Learning for Image-Language Model Generalization ICCV 2023

Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction ICCV 2023

Diffusing Gaussian Mixtures for Generating Categorical Data AAAI 2023

Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023

Diffusion Model as Representation Learner ICCV 2023

Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation ICCV 2023

Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023

A Fair Generative Model Using LeCam Divergence AAAI 2023

Score-Based Diffusion Models as Principled Priors for Inverse Imaging ICCV 2023

MAGI: Multi-Annotated Explanation-Guided Learning ICCV 2023

MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis CVPR 2023

Neural Markov Jump Processes ICML 2023

Variational Open-Domain Question Answering ICML 2023

Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits ICML 2023

CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data ICML 2023

Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023

Video Probabilistic Diffusion Models in Projected Latent Space CVPR 2023

Generative Semantic Segmentation CVPR 2023

Neural Dynamic Focused Topic Model AAAI 2023

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior ICCV 2023

Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model CVPR 2023