SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1100 of 2226 papers

TitleStatusHype
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers—0
Human collective intelligence as distributed Bayesian inference—0
A stochastic version of Stein Variational Gradient Descent for efficient sampling—0
Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability—0
Bayesian Reinforcement Learning: A Survey—0
A Kolmogorov-Smirnov test for the molecular clock on Bayesian ensembles of phylogenies—0
A Kernel Learning Method for Backward SDE Filter—0
Human Inference in Changing Environments With Temporal Structure—0
A Stochastic Robust Adaptive Systems Level Approach to Stabilizing Large-Scale Uncertain Markovian Jump Linear Systems—0
Bayesian reconstruction of HIV transmission trees from viral sequences and uncertain infection times—0
A Closer Look at Disentangling in β-VAE—0
Bayesian Reasoning with Trained Neural Networks—0
Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo—0
A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation—0
Meta-Posterior Consistency for the Bayesian Inference of Metastable System—0
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning—0
Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties—0
Implicit representation priors meet Riemannian geometry for Bayesian robotic grasping—0
Bayesian Probabilistic Matrix Factorization—0
Bayesian Predictive Coding—0
A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet Process—0
Bayesian Prediction-Powered Inference—0
AI-Powered Bayesian Inference—0
A Stein Gradient Descent Approach for Doubly Intractable Distributions—0
How Adults Understand What Young Children Say—0
How Good is the Bayes Posterior in Deep Neural Networks Really?—0
How Much More Probable is "Much More Probable"? Verbal Expressions for Probability Updates—0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
Generalizing Eye Tracking With Bayesian Adversarial Learning—0
Bayesian Posterior Perturbation Analysis with Integral Probability Metrics—0
Generative Emergent Communication: Large Language Model is a Collective World Model—0
Generative learning for deep networks—0
Generative Modeling: A Review—0
Generative models and Bayesian inversion using Laplace approximation—0
Accelerated physical emulation of Bayesian inference in spiking neural networks—0
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models—0
A statistical framework for GWAS of high dimensional phenotypes using summary statistics, with application to metabolite GWAS—0
Geometry of Score Based Generative Models—0
GFlowOut: Dropout with Generative Flow Networks—0
Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes—0
Global seismic monitoring as probabilistic inference—0
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory—0
Goal-directed decision making in prefrontal cortex: a computational framework—0
Goal-Directed Planning by Reinforcement Learning and Active Inference—0
Goal Inference from Open-Ended Dialog—0
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration—0
Godot is not coming: when we will let innovations enter psychiatry?—0
Good Initializations of Variational Bayes for Deep Models—0
GPU Computing in Bayesian Inference of Realized Stochastic Volatility Model—0
Generalized second law of thermodynamics in the Glosten-Milgrom model—0
Show:102550
← PrevPage 22 of 45Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified