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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 51–75 of 2226 papers

TitleStatusHype
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian PerspectiveCode1
The Transient Nature of Emergent In-Context Learning in TransformersCode1
ForecastPFN: Synthetically-Trained Zero-Shot ForecastingCode1
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian InferenceCode1
Amortizing intractable inference in large language modelsCode1
Discriminative Training of VBx DiarizationCode1
A Primer on Bayesian Neural Networks: Review and DebatesCode1
BayesDLL: Bayesian Deep Learning LibraryCode1
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided PruningCode1
Monte Carlo guided Diffusion for Bayesian linear inverse problemsCode1
Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters EstimationCode1
Variational Inference with Gaussian Score MatchingCode1
Low-rank extended Kalman filtering for online learning of neural networks from streaming dataCode1
Parallelized Acquisition for Active Learning using Monte Carlo SamplingCode1
Conditional score-based diffusion models for Bayesian inference in infinite dimensionsCode1
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming ApproachCode1
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulatorsCode1
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inferenceCode1
Meta-Learned Models of CognitionCode1
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modellingCode1
Robust Outlier Rejection for 3D Registration with Variational BayesCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
Training Language Models with Language Feedback at ScaleCode1
PyVBMC: Efficient Bayesian inference in PythonCode1
Calibrating Transformers via Sparse Gaussian ProcessesCode1
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Benchmark Results

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