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Variational Inference

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Showing 601–650 of 2274 papers

TitleStatusHype
Dirichlet Pruning for Neural Network CompressionCode0
Bayesian Inference on Brain-Computer Interfaces via GLASSCode0
Discovering Discrete Latent Topics with Neural Variational InferenceCode0
Deterministic Variational Inference for Robust Bayesian Neural NetworksCode0
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement LearningCode0
Gaussian Process-Gated Hierarchical Mixtures of ExpertsCode0
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep LearningCode0
Discretely Indexed FlowsCode0
GFlowNets and variational inferenceCode0
Discretely Relaxing Continuous Variables for tractable Variational InferenceCode0
Bayesian Neural Networks for Virtual Flow Metering: An Empirical StudyCode0
Discriminative calibration: Check Bayesian computation from simulations and flexible classifierCode0
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosCode0
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationCode0
Adaptive importance sampling for heavy-tailed distributions via α-divergence minimizationCode0
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random FieldCode0
Bayesian Neural Networks With Maximum Mean Discrepancy RegularizationCode0
Disentangling Latent Space for VAE by Label Relevant/Irrelevant DimensionsCode0
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regimeCode0
Fully Bayesian VIB-DeepSSMCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Implicit Posterior Variational Inference for Deep Gaussian ProcessesCode0
Bayesian Inference ForgettingCode0
Design of Communication Systems using Deep Learning: A Variational Inference PerspectiveCode0
Bayesian Nonlinear Support Vector Machines for Big DataCode0
Distributional Bayesian optimisation for variational inference on black-box simulatorsCode0
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process ModelsCode0
Dep-L_0: Improving L_0-based Network Sparsification via Dependency ModelingCode0
Functional Gradient Flows for Constrained SamplingCode0
Free-Form Variational Inference for Gaussian Process State-Space ModelsCode0
From Patches to Images: A Nonparametric Generative ModelCode0
Indian Buffet process for model selection in convolved multiple-output Gaussian processesCode0
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsCode0
Flexible Tails for Normalizing FlowsCode0
Functional Variational Bayesian Neural NetworksCode0
Input-gradient space particle inference for neural network ensemblesCode0
Deep Variational Implicit ProcessesCode0
Interpolating between sampling and variational inference with infinite stochastic mixturesCode0
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw DataCode0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
Addressing Catastrophic Forgetting in Few-Shot ProblemsCode0
Doubly Stochastic Variational Inference for Deep Gaussian ProcessesCode0
Approximate Inference for Fully Bayesian Gaussian Process RegressionCode0
Knowing what you know in brain segmentation using Bayesian deep neural networksCode0
Laplace Matching for fast Approximate Inference in Latent Gaussian ModelsCode0
Finding Convincing Arguments Using Scalable Bayesian Preference LearningCode0
Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0Code0
Accelerating Convergence in Bayesian Few-Shot ClassificationCode0
DropMax: Adaptive Variational SoftmaxCode0
Flexible Amortized Variational Inference in qBOLD MRICode0
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