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Variational Inference

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Showing 1951–2000 of 2274 papers

TitleStatusHype
Heron Inference for Bayesian Graphical ModelsCode0
Heterogeneous Multi-output Gaussian Process PredictionCode0
Variational Bayesian Optimal Experimental DesignCode0
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosCode0
PhyloGFN: Phylogenetic inference with generative flow networksCode0
Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational AutoencoderCode0
Boosting Black Box Variational InferenceCode0
Hierarchical Importance Weighted AutoencodersCode0
A Targeted Accuracy Diagnostic for Variational ApproximationsCode0
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed StabilityCode0
Deep Bayesian Structure NetworksCode0
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationCode0
Piecewise Deterministic Markov Processes for Bayesian Neural NetworksCode0
Hierarchical Variational Imitation Learning of Control ProgramsCode0
Hierarchical Variational Memory for Few-shot Learning Across DomainsCode0
Hierarchical Variational ModelsCode0
Deep Bayesian Self-TrainingCode0
Piecewise Latent Variables for Neural Variational Text ProcessingCode0
High Dimensional Causal Inference with Variational Backdoor AdjustmentCode0
High-dimensional neural spike train analysis with generalized count linear dynamical systemsCode0
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black BoxCode0
Black box variational inference for state space modelsCode0
Learning document embeddings along with their uncertaintiesCode0
Variational Leakage: The Role of Information Complexity in Privacy LeakageCode0
Black-box Variational Inference for Stochastic Differential EquationsCode0
VIME: Variational Information Maximizing ExplorationCode0
Population Empirical BayesCode0
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceCode0
Wide Mean-Field Bayesian Neural Networks Ignore the DataCode0
Stein ICP for Uncertainty Estimation in Point Cloud MatchingCode0
Deconfounding Imitation Learning with Variational InferenceCode0
Variational Flow Models: Flowing in Your StyleCode0
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time SeriesCode0
Stein Variational Gaussian ProcessesCode0
Asynchronous Temporal Fields for Action RecognitionCode0
Variational Marginal Particle FiltersCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Implicit Posterior Variational Inference for Deep Gaussian ProcessesCode0
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksCode0
Posterior temperature optimized Bayesian models for inverse problems in medical imagingCode0
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte CarloCode0
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational InferenceCode0
Stochastic Aggregation in Graph Neural NetworksCode0
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?Code0
Practical Deep Learning with Bayesian PrinciplesCode0
Black Box Variational InferenceCode0
Improved uncertainty quantification for neural networks with Bayesian last layerCode0
Improved Variational Bayesian Phylogenetic Inference using MixturesCode0
Improved Variational Inference with Inverse Autoregressive FlowCode0
Variational Gaussian Process Diffusion ProcessesCode0
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