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Variational Inference

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TitleStatusHype
A Closer Look at Disentangling in β-VAE—0
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis—0
Functional Complexity-adaptive Temporal Tensor Decomposition—0
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning—0
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach—0
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models—0
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders—0
A theoretical perspective on mode collapse in variational inference—0
From MAP to Marginals: Variational Inference in Bayesian Submodular Models—0
Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach—0
Frequentist Consistency of Generalized Variational Inference—0
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach—0
Foundation Posteriors for Approximate Probabilistic Inference—0
Forward χ^2 Divergence Based Variational Importance Sampling—0
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space—0
Forward Amortized Inference for Likelihood-Free Variational Marginalization—0
Challenges in Computing and Optimizing Upper Bounds of Marginal Likelihood based on Chi-Square Divergences—0
Alpha-Divergences in Variational Dropout—0
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
Bayesian evidence estimation from posterior samples with normalizing flows—0
Challenges for BBVI with Normalizing Flows—0
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering—0
Flow-based Recurrent Belief State Learning for POMDPs—0
Challenges and Pitfalls of Bayesian Unlearning—0
Flexible Modeling of Latent Task Structures in Multitask Learning—0
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