SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 2274 papers

TitleStatusHype
Bayesian model and dimension reduction for uncertainty propagation: applications in random media—0
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models—0
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference—0
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation—0
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection—0
Flat Seeking Bayesian Neural Networks—0
Challenges and Opportunities in High-dimensional Variational Inference—0
Asynchronous Stochastic Variational Inference—0
Flexible Modeling of Latent Task Structures in Multitask Learning—0
Challenges and Opportunities in High Dimensional Variational Inference—0
Flow-based Recurrent Belief State Learning for POMDPs—0
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering—0
Bayesian evidence estimation from posterior samples with normalizing flows—0
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation—0
Hierarchical Implicit Models and Likelihood-Free Variational Inference—0
Forward χ^2 Divergence Based Variational Importance Sampling—0
Foundation Posteriors for Approximate Probabilistic Inference—0
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach—0
Frequentist Consistency of Generalized Variational Inference—0
From MAP to Marginals: Variational Inference in Bayesian Submodular Models—0
Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach—0
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements—0
Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels—0
A theoretical perspective on mode collapse in variational inference—0
A Filtering Approach to Stochastic Variational Inference—0
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
Functional Complexity-adaptive Temporal Tensor Decomposition—0
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis—0
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis—0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors—0
Functional Variational Inference based on Stochastic Process Generators—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
Function-Space Regularization for Deep Bayesian Classification—0
Function-Space Variational Inference for Deep Bayesian Classification—0
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models—0
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework—0
Hierarchical Bayes Autoencoders—0
Gamma Processes, Stick-Breaking, and Variational Inference—0
Gauging Variational Inference—0
Gaussian Density Parametrization Flow: Particle and Stochastic Approaches—0
Gaussian Mean Field Regularizes by Limiting Learned Information—0
Gaussian Process Conditional Density Estimation—0
Bayesian Matrix Decomposition and Applications—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond—0
Gaussian Process Latent Variable Flows for Massively Missing Data—0
Hierarchical models for neural population dynamics in the presence of non-stationarity—0
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer—0
Show:102550
← PrevPage 17 of 46Next →

No leaderboard results yet.