SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 876–900 of 2274 papers

TitleStatusHype
GFlowOut: Dropout with Generative Flow Networks—0
Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes—0
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models—0
'In-Between' Uncertainty in Bayesian Neural Networks—0
GRADE: Graph Dynamic Embedding—0
Gradient-based inference of abstract task representations for generalization in neural networks—0
A universal probabilistic spike count model reveals ongoing modulation of neural variability—0
Measuring Systematic Risk with Neural Network Factor Model—0
Incremental Variational Inference for Latent Dirichlet Allocation—0
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification—0
Improving Graph Out-of-distribution Generalization on Real-world Data—0
Variational Laplace for Bayesian neural networks—0
Gradient Regularisation as Approximate Variational Inference—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
AutoBayes: A Compositional Framework for Generalized Variational Inference—0
Computing with Categories in Machine Learning—0
PGODE: Towards High-quality System Dynamics Modeling—0
Differentially Private Continual Learning—0
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
Gray-box inference for structured Gaussian process models—0
Group Factor Analysis—0
A Non-negative VAE:the Generalized Gamma Belief Network—0
Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes—0
Show:102550
← PrevPage 36 of 91Next →

No leaderboard results yet.