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Bayesian Inference

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

Papers

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Showing 501–550 of 2226 papers

TitleStatusHype
Bayesian Low Rank Tensor Ring Model for Image Completion—0
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias—0
A Review of Multiple Try MCMC algorithms for Signal Processing—0
Bayesian mechanics of self-organising systems—0
Are you using test log-likelihood correctly?—0
Bayesian Metaplasticity from Synaptic Uncertainty—0
Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making—0
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport—0
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures—0
Bayesian Model Selection for Identifying Markov Equivalent Causal Graphs—0
Analog Seizure Detection for Implanted Responsive Neurostimulation—0
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning—0
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits—0
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models—0
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms—0
Bounded rationality in structured density estimation—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
Bridging the reality gap in quantum devices with physics-aware machine learning—0
Bridging the Sim-to-Real Gap with Bayesian Inference—0
Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference—0
An Adaptive-Importance-Sampling-Enhanced Bayesian Approach for Topology Estimation in an Unbalanced Power Distribution System—0
Bone fusion in normal and pathological development is constrained by the network architecture of the human skull—0
Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease—0
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting—0
Adaptive Degradation Process with Deep Learning-Driven Trajectory—0
Bootstrapped synthetic likelihood—0
A Multiple-Instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images—0
Adams Conditioning and Likelihood Ratio Transfer Mediated Inference—0
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning—0
A Multi-armed Bandit MCMC, with applications in sampling from doubly intractable posterior—0
A Bayesian Approach to Multimodal Visual Dictionary Learning—0
Bounded rationality in structured density estimation—0
Building fast Bayesian computing machines out of intentionally stochastic, digital parts—0
A Bayesian Approach to Identifying Representational Errors—0
Active recursive Bayesian inference using Rényi information measures—0
Blindness of score-based methods to isolated components and mixing proportions—0
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation—0
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
BAT.jl -- A Julia-based tool for Bayesian inference—0
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation—0
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors—0
Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs—0
Active pooling design in group testing based on Bayesian posterior prediction—0
Amortized Conditional Normalized Maximum Likelihood—0
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks—0
Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference—0
BARNN: A Bayesian Autoregressive and Recurrent Neural Network—0
Amortized Bayesian Workflow (Extended Abstract)—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
BAR: Bayesian Activity Recognition using variational inference—0
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Benchmark Results

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