variational inference

2069 papers

Explore in graph

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

Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NIPS 2024

Stein Variational Ergodic Search RSS 2024

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

Probabilistic Integral Circuits AISTATS 2024

Joint control variate for faster black-box variational inference AISTATS 2024

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

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

Variational Gaussian Process Diffusion Processes AISTATS 2024

Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024

On Divergence Measures for Training GFlowNets NIPS 2024

Bayesian Adaptive Calibration and Optimal Design NIPS 2024

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

POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024

Idiographic Personality Gaussian Process for Psychological Assessment NIPS 2024

Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NIPS 2024

Globally Convergent Variational Inference NIPS 2024

Variational Distillation of Diffusion Policies into Mixture of Experts NIPS 2024

Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NIPS 2024

Optimising Distributions with Natural Gradient Surrogates AISTATS 2024

Generative Model for Decision Trees AAAI 2024

Diffusion Priors for Variational Likelihood Estimation and Image Denoising NIPS 2024

Improved off-policy training of diffusion samplers NIPS 2024

Inferring stochastic low-rank recurrent neural networks from neural data NIPS 2024

Risk-sensitive control as inference with Rényi divergence NIPS 2024

Variational Delayed Policy Optimization NIPS 2024