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Variational Inference

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TitleStatusHype
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
Interactive Segmentation as Gaussian Process ClassificationCode1
Natural Gradient Hybrid Variational Inference with Application to Deep Mixed ModelsCode0
U-Statistics for Importance-Weighted Variational Inference—0
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTSCode2
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
Energy-Based Test Sample Adaptation for Domain GeneralizationCode1
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine InvarianceCode1
Improved uncertainty quantification for neural networks with Bayesian last layerCode0
Variational Boosted Soft Trees—0
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
GFlowNet-EM for learning compositional latent variable modelsCode1
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
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsCode1
Federated Learning as Variational Inference: A Scalable Expectation Propagation ApproachCode1
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
A theory of continuous generative flow networksCode1
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking—0
Variational Latent Branching Model for Off-Policy EvaluationCode0
normflows: A PyTorch Package for Normalizing FlowsCode2
Rigid Body Flows for Sampling Molecular Crystal StructuresCode1
Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesCode0
Neural Dynamic Focused Topic ModelCode0
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 Probabilistic Framework for Visual Localization in Ambiguous ScenesCode1
A Tutorial on Parametric Variational Inference—0
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise—0
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