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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 701–750 of 2226 papers

TitleStatusHype
Analogy as Nonparametric Bayesian Inference over Relational Systems—0
Big Learning with Bayesian Methods—0
A majorization-minimization algorithm for nonnegative binary matrix factorization—0
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties—0
Cooperative Multi-Cell Massive Access with Temporally Correlated Activity—0
Copula Processes—0
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks—0
Regularizing Explanations in Bayesian Convolutional Neural Networks—0
Correcting Mode Proportion Bias in Generalized Bayesian Inference via a Weighted Kernel Stein Discrepancy—0
Analysis of Bayesian Inference Algorithms by the Dynamical Functional Approach—0
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging—0
Cortical Microcircuits from a Generative Vision Model—0
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework—0
Bidirectional Recurrent Neural Networks as Generative Models—0
Adaptive Gaussian process surrogates for Bayesian inference—0
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models—0
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators—0
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference—0
Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions—0
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series—0
A Tutorial on Sparse Gaussian Processes and Variational Inference—0
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation—0
DART: Depth-Enhanced Accurate and Real-Time Background Matting—0
Data augmentation in Bayesian neural networks and the cold posterior effect—0
Data fission: splitting a single data point—0
Bayesian data fusion with shared priors—0
Physics-constrained Bayesian inference of state functions in classical density-functional theory—0
Data-Driven Verification under Signal Temporal Logic Constraints—0
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems—0
A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction—0
Bayesian Deep Learning for Discrete Choice—0
Adaptive mitigation of time-varying quantum noise—0
Bayesian deep learning framework for uncertainty quantification in high dimensions—0
Elements of Sequential Monte Carlo—0
BIBI: Bayesian Inference of Breed Composition—0
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo—0
Bottom-up data integration in polymer models of chromatin organisation—0
Bridging Privacy and Robustness for Trustworthy Machine Learning—0
Bias or Optimality? Disentangling Bayesian Inference and Learning Biases in Human Decision-Making—0
Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control—0
Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields—0
Declarative Modeling and Bayesian Inference of Dark Matter Halos—0
Decoupled Variational Gaussian Inference—0
Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events—0
Deep Active Inference for Autonomous Robot Navigation—0
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference—0
A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
Biases and Variability from Costly Bayesian Inference—0
Bézier Curve Gaussian Processes—0
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Benchmark Results

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