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Variational Inference

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TitleStatusHype
Is MC Dropout Bayesian?—0
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data—0
Mixture Representation Learning with Coupled Autoencoders—0
Joint Mapping and Calibration via Differentiable Sensor Fusion—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Joint Sparse Graph for Enhanced MIMO-AFDM Receiver Design—0
Joint State Estimation and Noise Identification Based on Variational Optimization—0
Kernel Implicit Variational Inference—0
Koopman-Equivariant Gaussian Processes—0
Kullback-Leibler Proximal Variational Inference—0
Langevin Diffusion Variational Inference—0
Langevin Dynamics as Nonparametric Variational Inference—0
Language-guided Skill Learning with Temporal Variational Inference—0
Large Language Bayes—0
Large-scale Heteroscedastic Regression via Gaussian Process—0
Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews—0
Large Scale Tensor Regression using Kernels and Variational Inference—0
Latent Gaussian process with composite likelihoods and numerical quadrature—0
Latent Matters: Learning Deep State-Space Models—0
Latent mixed-effect models for high-dimensional longitudinal data—0
Latent Time Neural Ordinary Differential Equations—0
Latent Variables on Spheres for Sampling and Inference—0
LAVAE: Disentangling Location and Appearance—0
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference—0
LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport—0
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