SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 751–800 of 2274 papers

TitleStatusHype
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference—0
Hybrid Variational Autoencoder for Time Series Forecasting—0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
Fast post-process Bayesian inference with Variational Sparse Bayesian QuadratureCode0
Computing with Categories in Machine Learning—0
Variational Inference for Neyman-Scott ProcessesCode0
Variational Inference of Structured Line Spectra Exploiting Group-Sparsity—0
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary InformationCode0
Particle-based Online Bayesian Sampling—0
Natural Gradient Hybrid Variational Inference with Application to Deep Mixed ModelsCode0
U-Statistics for Importance-Weighted Variational Inference—0
A Targeted Accuracy Diagnostic for Variational ApproximationsCode0
Streaming data recovery via Bayesian tensor train decomposition—0
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems—0
Variational Boosted Soft Trees—0
Improved uncertainty quantification for neural networks with Bayesian last layerCode0
Free-Form Variational Inference for Gaussian Process State-Space ModelsCode0
Bayesian Matrix Decomposition and Applications—0
The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational InferenceCode0
Piecewise Deterministic Markov Processes for Bayesian Neural NetworksCode0
Variational Bayesian Neural Networks via Resolution of SingularitiesCode0
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health RecordsCode0
Gaussian Process-Gated Hierarchical Mixtures of ExpertsCode0
Federated Variational Inference Methods for Structured Latent Variable Models—0
Prior Density Learning in Variational Bayesian Phylogenetic Parameters InferenceCode0
Flat Seeking Bayesian Neural Networks—0
Variational Inference on the Final-Layer Output of Neural NetworksCode0
Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes—0
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation—0
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking—0
Variational Latent Branching Model for Off-Policy EvaluationCode0
Neural Dynamic Focused Topic ModelCode0
Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesCode0
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective—0
Towards Flexibility and Interpretability of Gaussian Process State-Space ModelCode0
Projective Integral Updates for High-Dimensional Variational InferenceCode0
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition—0
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes—0
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing—0
A Tutorial on Parametric Variational Inference—0
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise—0
Posterior Collapse and Latent Variable Non-identifiability—0
Robust and Scalable Gaussian Process Regression and Its ApplicationsCode0
MAGI: Multi-Annotated Explanation-Guided Learning—0
Plausible Uncertainties for Human Pose Regression—0
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion—0
Visualizing Information Bottleneck through Variational Inference—0
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random FieldCode0
Bayesian posterior approximation with stochastic ensemblesCode0
Smoothing volatility targeting—0
Show:102550
← PrevPage 16 of 46Next →

No leaderboard results yet.