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Variational Inference

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TitleStatusHype
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
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian ProcessesCode1
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient DescentCode1
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
Continual Learning via Sequential Function-Space Variational InferenceCode1
Tractable Function-Space Variational Inference in Bayesian Neural NetworksCode0
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework—0
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and UnderreachingCode1
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