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Variational Inference

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Showing 2001–2050 of 2274 papers

TitleStatusHype
Variational Memory Addressing in Generative ModelsCode0
Improving Explorability in Variational Inference with Annealed Variational ObjectivesCode0
Improving Fair Predictions Using Variational Inference In Causal ModelsCode0
Black-box Coreset Variational InferenceCode0
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process ModelsCode0
Learning Deep Generative Models with Annealed Importance SamplingCode0
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational InferenceCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
Uncertainty Quantification using Variational Inference for Biomedical Image SegmentationCode0
Variational Gibbs Inference for Statistical Model Estimation from Incomplete DataCode0
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency InputsCode0
Predictive Collective Variable Discovery with Deep Bayesian ModelsCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Unconstrained Monotonic Neural NetworksCode0
Joint control variate for faster black-box variational inferenceCode0
VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution DetectionCode0
Bijectors.jl: Flexible transformations for probability distributionsCode0
BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific QuantificationCode0
Preventing Model Collapse in Gaussian Process Latent Variable ModelsCode0
Asymmetric Variational AutoencodersCode0
Understanding MCMC Dynamics as Flows on the Wasserstein SpaceCode0
Indian Buffet process for model selection in convolved multiple-output Gaussian processesCode0
Prior Density Learning in Variational Bayesian Phylogenetic Parameters InferenceCode0
PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation LearningCode0
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte CarloCode0
Variational Message Passing with Structured Inference NetworksCode0
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word CorporaCode0
A deep generative model for gene expression profiles from single-cell RNA sequencingCode0
Bidirectional Convolutional Poisson Gamma Dynamical SystemsCode0
Information Dropout: Learning Optimal Representations Through Noisy ComputationCode0
Understanding Variational Inference in Function-SpaceCode0
Probabilistic Discriminative Learning with Layered Graphical ModelsCode0
uniblock: Scoring and Filtering Corpus with Unicode Block InformationCode0
Variational methods for simulation-based inferenceCode0
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set RecognitionCode0
Input-gradient space particle inference for neural network ensemblesCode0
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian InferenceCode0
Stochastic gradient variational Bayes for gamma approximating distributionsCode0
Probabilistic Models with Deep Neural NetworksCode0
Stochastic Graph Recurrent Neural NetworkCode0
Bernstein Flows for Flexible Posteriors in Variational BayesCode0
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable ModelsCode0
Variational Metric Scaling for Metric-Based Meta-LearningCode0
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural NetworksCode0
Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response TheoryCode0
Interpolating between sampling and variational inference with infinite stochastic mixturesCode0
Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature SelectionCode0
Probabilistic task modelling for meta-learningCode0
Probabilistic Tensor Decomposition of Neural Population Spiking ActivityCode0
Benchmarking and optimizing organism wide single-cell RNA alignment methodsCode0
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