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Variational Inference

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TitleStatusHype
Edge Partition Modulated Graph Convolutional Networks—0
Learning to Dequantise with Truncated Flows—0
Neural Variational Dropout Processes—0
A First-Order Method for Estimating Natural Gradients for Variational Inference with Gaussians and Gaussian Mixture Models—0
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion—0
Variational Inference for Continuous-Time Switching Dynamical Systems—0
Sparse Gaussian Processes for Stochastic Differential Equations—0
Using Soft Labels to Model Uncertainty in Medical Image Segmentation—0
Bayesian Confidence Calibration for Epistemic Uncertainty ModellingCode1
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization—0
Variational Disentanglement for Domain Generalization—0
Learning Opinion Summarizers by Selecting Informative ReviewsCode1
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations—0
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL TranslationCode1
A Mathematical Walkthrough and Discussion of the Free Energy Principle—0
An Introduction to Variational Inference—0
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive ModelsCode0
Modeling Item Response Theory with Stochastic Variational Inference—0
Few Shot Activity Recognition Using Variational Inference—0
Variational Inference at Glacier Scale—0
Regularized Sequential Latent Variable Models with Adversarial Neural Networks—0
P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly ScreeningCode1
Pathfinder: Parallel quasi-Newton variational inferenceCode1
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities—0
Bayesian Active Meta-Learning for Few Pilot Demodulation and EqualizationCode0
Tree-Structured Topic Modeling with Nonparametric Neural Variational InferenceCode1
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation—0
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver—0
Self-Supervised Inference in State-Space Models—0
Neural Variational Gradient DescentCode1
Structured Stochastic Gradient MCMCCode0
Subset-of-Data Variational Inference for Deep Gaussian-Processes RegressionCode0
Input Dependent Sparse Gaussian Processes—0
Variational Topic Inference for Chest X-Ray Report Generation—0
Principal component analysis for Gaussian process posteriors—0
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers—0
Kernel Continual LearningCode0
Bayesian brains and the Rényi divergence—0
Prb-GAN: A Probabilistic Framework for GAN Modelling—0
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object DetectorsCode0
Scaling Gaussian Processes with Derivative Information Using Variational Inference—0
MCMC Variational Inference via Uncorrected Hamiltonian Annealing—0
Generative locally linear embedding: A module for manifold unfolding and visualizationCode1
InfoNCE is variational inference in a recognition parameterised model—0
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence—0
Deep Gaussian Process Emulation using Stochastic ImputationCode1
Sawtooth Factorial Topic Embeddings Guided Gamma Belief NetworkCode1
Dep-L_0: Improving L_0-based Network Sparsification via Dependency ModelingCode0
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence—0
Dual Adversarial Variational Embedding for Robust Recommendation—0
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