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Variational Inference

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Showing 601–650 of 2274 papers

TitleStatusHype
Posterior Collapse and Latent Variable Non-identifiability—0
Plausible Uncertainties for Human Pose Regression—0
MAGI: Multi-Annotated Explanation-Guided Learning—0
Robust and Scalable Gaussian Process Regression and Its ApplicationsCode0
Interactive Segmentation As Gaussion Process ClassificationCode1
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
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels—0
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework—0
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning—0
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models—0
Learning the joint distribution of two sequences using little or no paired data—0
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field—0
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation—0
Variational Laplace Autoencoders—0
Particle-based Variational Inference with Preconditioned Functional Gradient Flow—0
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity—0
Bayesian Learning for Neural Networks: an algorithmic survey—0
Compositional Scene Modeling with Global Object-Centric Representations—0
Deep Gaussian Processes for Air Quality InferenceCode0
Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks—0
Hierarchical Phrase-based Sequence-to-Sequence LearningCode1
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors—0
On the Performance of Direct Loss Minimization for Bayesian Neural Networks—0
Variational Augmentation for Enhancing Historical Document Image BinarizationCode0
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds—0
Semi-supervised Variational Autoencoder for Regression: Application on Soft SensorsCode1
Thompson Sampling for High-Dimensional Sparse Linear Contextual BanditsCode0
Black-box Coreset Variational InferenceCode0
Deconfounding Imitation Learning with Variational InferenceCode0
Automatic differentiation is no panacea for phylogenetic gradient computationCode0
Fast and efficient speech enhancement with variational autoencoders—0
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning—0
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics—0
Variational Inference Aided Estimation of Time Varying Channels—0
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis—0
DPVIm: Differentially Private Variational Inference Improved—0
Manifold Gaussian Variational Bayes on the Precision MatrixCode0
Adversarial Purification with the Manifold Hypothesis—0
Learning on Large-scale Text-attributed Graphs via Variational InferenceCode1
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise—0
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning ApproachCode0
On the optimization and pruning for Bayesian deep learningCode0
Towards Out-of-Distribution Sequential Event Prediction: A Causal TreatmentCode1
GFlowOut: Dropout with Generative Flow Networks—0
Solving Reasoning Tasks with a Slot Transformer—0
On Representations of Mean-Field Variational Inference—0
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