SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1151–1200 of 2274 papers

TitleStatusHype
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationCode1
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering—0
TAN-NTM: Topic Attention Networks for Neural Topic Modeling—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
Identifying signal and noise structure in neural population activity with Gaussian process factor models—0
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks—0
Graph Stochastic Neural Networks for Semi-supervised LearningCode1
Bidirectional Convolutional Poisson Gamma Dynamical SystemsCode0
Stochastic Deep Gaussian Processes over GraphsCode1
Introducing Routing Uncertainty in Capsule Networks—0
Efficient Low Rank Gaussian Variational Inference for Neural NetworksCode0
Generalized Variational Continual Learning—0
Gradient Regularisation as Approximate Variational Inference—0
On the Inconsistency of Bayesian Inference for Misspecified Neural Networks—0
Rethinking Function-Space Variational Inference in Bayesian Neural Networks—0
Neural Linear Models with Functional Gaussian Process Priors—0
Variational Refinement for Importance SamplingUsing the Forward Kullback-Leibler Divergence—0
Scalable Hybrid Hidden Markov Model with Gaussian Process Emission for Sequential Time-series Observations—0
Marginal Likelihood Gradient for Bayesian Neural Networks—0
The Gaussian Process Latent Autoregressive Model—0
Generative Video Compression as Hierarchical Variational Inference—0
Gaussian Process Latent Variable Flows for Massively Missing Data—0
Gaussian Density Parametrization Flow: Particle and Stochastic Approaches—0
Parametric Bootstrap Ensembles as Variational Inference—0
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO ApproximationsCode1
Variational Laplace for Bayesian neural networks—0
Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems—0
Understanding Variational Inference in Function-SpaceCode0
Recursive Inference for Variational Autoencoders—0
Efficient Variational Inference for Sparse Deep Learning with Theoretical GuaranteeCode0
Dirichlet Pruning for Neural Network CompressionCode0
Sparse within Sparse Gaussian Processes using Neighbor Information—0
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy OptimizationCode0
User-Dependent Neural Sequence Models for Continuous-Time Event DataCode1
Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction—0
Quantized Variational InferenceCode0
Amortized Variational Deep Q NetworkCode0
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix—0
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian ProcessesCode0
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceCode0
Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations—0
Statistical optimality and stability of tangent transform algorithms in logit models—0
Latent Network Estimation and Variable Selection for Compositional Data via Variational EMCode0
Out-of-distribution detection for regression tasks: parameter versus predictor entropy—0
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors—0
Variational Bayesian Unlearning—0
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference—0
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data—0
Probabilistic Circuits for Variational Inference in Discrete Graphical ModelsCode1
A Discrete Variational Recurrent Topic Model without the Reparametrization TrickCode1
Show:102550
← PrevPage 24 of 46Next →

No leaderboard results yet.