SOTAVerified

Bayesian Inference

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

Papers

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Showing 1801–1850 of 2226 papers

TitleStatusHype
Bayesian Inference in Sparse Gaussian Graphical Models—0
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia—0
Bayesian Inference of Bijective Non-Rigid Shape Correspondence—0
Bayesian inference of composition-dependent phase diagrams—0
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization—0
Bayesian Inference of Log Determinants—0
Bayesian inference of mean velocity fields and turbulence models from flow MRI—0
Bayesian Inference of Natural Rankings in Incomplete Competition Networks—0
Bayesian inference of natural selection from allele frequency time series—0
Bayesian Inference of Online Social Network Statistics via Lightweight Random Walk Crawls—0
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming—0
Bayesian Inference of Recursive Sequences of Group Activities from Tracks—0
Bayesian Inference of Regular Expressions from Human-Generated Example Strings—0
Bayesian Inference of Self-intention Attributed by Observer—0
Bayesian Inference of Spacecraft Pose using Particle Filtering—0
Bayesian inference of spatial and temporal relations in AI patents for EU countries—0
Bayesian Inference of Spreading Processes on Networks—0
Bayesian Inference of Stochastic Dynamical Networks—0
Bayesian Inference of Temporal Task Specifications from Demonstrations—0
Bayesian inference of the climbing grade scale—0
Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior—0
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity—0
Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction—0
Bayesian inference on random simple graphs with power law degree distributions—0
Bayesian inference to improve quality of Retrieval Augmented Generation—0
Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family—0
Bayesian inference via rejection filtering—0
Bayesian Inference with Deep Weakly Nonlinear Networks—0
Bayesian inference with finitely wide neural networks—0
Bayesian Inference with Generative Adversarial Network Priors—0
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning—0
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs—0
Bayesian Integration of Multi-resolutional Grid Codes for Spatial Cognition—0
Bayesian Interpolation with Deep Linear Networks—0
Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration—0
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement—0
Bayesian Invariant Risk Minimization—0
Bayesian Inverse Contextual Reasoning for Heterogeneous Semantics-Native Communication—0
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise—0
Bayesian Knowledge-driven Critiquing with Indirect Evidence—0
Bayesian Learning for Neural Networks: an algorithmic survey—0
Bayesian Learning of Kernel Embeddings—0
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes—0
Bayesian Learning via Neural Schrödinger-Föllmer Flows—0
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation—0
Bayesian Low-Rank Interpolative Decomposition for Complex Datasets—0
Bayesian Low Rank Tensor Ring Model for Image Completion—0
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias—0
Bayesian mechanics of self-organising systems—0
Bayesian Metaplasticity from Synaptic Uncertainty—0
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Benchmark Results

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