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Variational Inference

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TitleStatusHype
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational PosteriorsCode0
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process MixturesCode0
A Compact Representation for Bayesian Neural Networks By Removing Permutation SymmetryCode0
Tractable Function-Space Variational Inference in Bayesian Neural NetworksCode0
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework—0
Online Variational Sequential Monte CarloCode0
Robust Node Representation Learning via Graph Variational Diffusion Networks—0
Bayesian Model Selection via Mean-Field Variational Approximation—0
Joint State Estimation and Noise Identification Based on Variational Optimization—0
The Gaussian-Linear Hidden Markov model: a Python packageCode0
WISE: full-Waveform variational Inference via Subsurface Extensions—0
Sparse Variational Student-t Processes—0
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein spaceCode0
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities—0
Adaptive Robust Learning using Latent Bernoulli VariablesCode0
Identifiable Feature Learning for Spatial Data with Nonlinear ICA—0
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning—0
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning—0
Variational Elliptical Processes—0
Favour: FAst Variance Operator for Uncertainty Rating—0
Neural Graph Collaborative Filtering Using Variational Inference—0
Bayesian Neural Networks: A Min-Max Game Framework—0
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification—0
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series—0
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models—0
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