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Variational Inference

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TitleStatusHype
Flat Seeking Bayesian Neural Networks—0
Variational Inference on the Final-Layer Output of Neural NetworksCode0
Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes—0
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation—0
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking—0
Variational Latent Branching Model for Off-Policy EvaluationCode0
Neural Dynamic Focused Topic ModelCode0
Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesCode0
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective—0
Towards Flexibility and Interpretability of Gaussian Process State-Space ModelCode0
Projective Integral Updates for High-Dimensional Variational InferenceCode0
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition—0
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes—0
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing—0
A Tutorial on Parametric Variational Inference—0
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise—0
Posterior Collapse and Latent Variable Non-identifiability—0
Robust and Scalable Gaussian Process Regression and Its ApplicationsCode0
MAGI: Multi-Annotated Explanation-Guided Learning—0
Plausible Uncertainties for Human Pose Regression—0
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion—0
Visualizing Information Bottleneck through Variational Inference—0
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random FieldCode0
Bayesian posterior approximation with stochastic ensemblesCode0
Smoothing volatility targeting—0
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