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Variational Inference

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TitleStatusHype
Accelerating Convergence of Stein Variational Gradient Descent via Deep UnfoldingCode0
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties—0
Bayesian Neural Networks with Domain Knowledge Priors—0
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes—0
Variational Entropy Search for Adjusting Expected Improvement—0
Training Bayesian Neural Networks with Sparse Subspace Variational InferenceCode0
MCMC-driven learning—0
Variational Continual Test-Time Adaptation—0
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?Code0
Latent variable model for high-dimensional point process with structured missingnessCode0
The VampPrior Mixture ModelCode0
Variational Flow Models: Flowing in Your StyleCode0
Variational DAG Estimation via State Augmentation With Stochastic Permutations—0
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing—0
Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian ApproachCode0
Multilayer Simplex-structured Matrix Factorization for Hyperspectral Unmixing with Endmember Variability—0
Towards Improved Variational Inference for Deep Bayesian Models—0
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations—0
Provably Scalable Black-Box Variational Inference with Structured Variational Families—0
Efficient Nonparametric Tensor Decomposition for Binary and Count DataCode0
Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning—0
DualVAE: Dual Disentangled Variational AutoEncoder for RecommendationCode0
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern RecognitionCode0
Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks—0
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation—0
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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