SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 2274 papers

TitleStatusHype
Partially factorized variational inference for high-dimensional mixed modelsCode1
Online Variational Sequential Monte CarloCode0
Robust Node Representation Learning via Graph Variational Diffusion Networks—0
Bayesian Model Selection via Mean-Field Variational Approximation—0
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEsCode1
Joint State Estimation and Noise Identification Based on Variational Optimization—0
The Gaussian-Linear Hidden Markov model: a Python packageCode0
WISE: full-Waveform variational Inference via Subsurface Extensions—0
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online InferenceCode1
Sparse Variational Student-t Processes—0
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein spaceCode0
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities—0
Adaptive Robust Learning using Latent Bernoulli VariablesCode0
Variational Bayes image restoration with compressive autoencodersCode1
Identifiable Feature Learning for Spatial Data with Nonlinear ICA—0
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word RepresentationCode1
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning—0
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisCode3
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning—0
Variational Elliptical Processes—0
Favour: FAst Variance Operator for Uncertainty Rating—0
Neural Graph Collaborative Filtering Using Variational Inference—0
Bayesian Neural Networks: A Min-Max Game Framework—0
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification—0
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series—0
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
PGODE: Towards High-quality System Dynamics Modeling—0
Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization—0
Estimating treatment effects from single-arm trials via latent-variable modelingCode0
Neural Structure Learning with Stochastic Differential Equations—0
Forward χ^2 Divergence Based Variational Importance Sampling—0
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksCode0
Disentangled Representation Learning with Transmitted Information Bottleneck—0
VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification—0
Rethinking Variational Inference for Probabilistic Programs with Stochastic SupportCode0
Diffusion models for probabilistic programmingCode0
Bridging the Gap Between Variational Inference and Wasserstein Gradient FlowsCode0
Progressive Neural Network for Multi-Horizon Time Series ForecastingCode0
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images—0
DySurv: dynamic deep learning model for survival analysis with conditional variational inference—0
Deep Transformed Gaussian Processes—0
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationCode0
The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability—0
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks—0
Adaptive importance sampling for heavy-tailed distributions via α-divergence minimizationCode0
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference—0
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions—0
Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference—0
Normalizing flow-based deep variational Bayesian network for seismic multi-hazards and impacts estimation from InSAR imagery—0
Show:102550
← PrevPage 8 of 46Next →

No leaderboard results yet.