SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 2274 papers

TitleStatusHype
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA—0
Approximate Inference for Stochastic Planning in Factored SpacesCode0
Representation Uncertainty in Self-Supervised Learning as Variational Inference—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Differentiable DAG SamplingCode1
Variational inference of fractional Brownian motion with linear computational complexity—0
Accelerating Stochastic Probabilistic Inference—0
Modelling Non-Smooth Signals with Complex Spectral StructureCode2
Flexible Amortized Variational Inference in qBOLD MRICode0
Bayesian Spatial Predictive Synthesis—0
The Transitive Information Theory and its Application to Deep Generative Models—0
Variational Inference with Locally Enhanced Bounds for Hierarchical Models—0
Variational methods for simulation-based inferenceCode0
Recursive Monte Carlo and Variational Inference with Auxiliary VariablesCode0
Differentiable Causal Discovery Under Latent InterventionsCode1
Learning Neural Set Functions Under the Optimal Subset OracleCode1
Learning Conditional Variational Autoencoders with Missing Covariates—0
VaiPhy: a Variational Inference Based Algorithm for PhylogenyCode0
Bayesian Structure Learning with Generative Flow NetworksCode1
Differential equation and probability inspired graph neural networks for latent variable learningCode0
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixtures—0
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference—0
Fast variational Bayes methods for multinomial probit models—0
Variational inference for large Bayesian vector autoregressions—0
Estimators of Entropy and Information via Inference in Probabilistic Models—0
Towards Effective and Robust Neural Trojan Defenses via Input Filtering—0
Partitioned Variational Inference: A Framework for Probabilistic Federated LearningCode0
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function—0
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation—0
Wide Mean-Field Bayesian Neural Networks Ignore the DataCode0
Variational encoding approach for interpretable assessment of remaining useful life estimationCode1
Multiple Importance Sampling ELBO and Deep Ensembles of Variational ApproximationsCode0
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder—0
Information Theory with Kernel Methods—0
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods—0
Reinforcement Learning in Presence of Discrete Markovian Context Evolution—0
Bernstein Flows for Flexible Posteriors in Variational BayesCode0
Bayesian Nonparametrics for Offline Skill DiscoveryCode0
A Variational Edge Partition Model for Supervised Graph Representation LearningCode0
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery—0
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural TransportCode0
Posterior temperature optimized Bayesian models for inverse problems in medical imagingCode0
Tutorial on amortized optimizationCode2
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference—0
Continual Repeated Annealed Flow Transport Monte CarloCode1
Denoising Diffusion Restoration ModelsCode2
Constrained Structure Learning for Scene Graph Generation—0
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution ShiftCode0
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives—0
Show:102550
← PrevPage 17 of 46Next →

No leaderboard results yet.