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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 51–100 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
Eryn : A multi-purpose sampler for Bayesian inferenceCode1
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNetsCode1
Memory-Based Meta-Learning on Non-Stationary DistributionsCode1
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative ModelsCode1
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time SeriesCode1
Physics-Informed Gaussian Process Regression Generalizes Linear PDE SolversCode1
Neural Superstatistics for Bayesian Estimation of Dynamic Cognitive ModelsCode1
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World SurveillanceCode1
Fast and robust Bayesian Inference using Gaussian Processes with GPryCode1
Convolutional Bayesian Kernel Inference for 3D Semantic MappingCode1
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian InferenceCode1
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact caseCode1
Bayesian Inference with Latent Hamiltonian Neural NetworksCode1
Reliable amortized variational inference with physics-based latent distribution correctionCode1
Scalable Bayesian Inference for Detection and Deblending in Astronomical ImagesCode1
Laplacian Autoencoders for Learning Stochastic RepresentationsCode1
Personalized Federated Learning via Variational Bayesian InferenceCode1
Scalable Deep Gaussian Markov Random Fields for General GraphsCode1
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel RecombinationCode1
Variational inference via Wasserstein gradient flowsCode1
Marginal Post Processing of Bayesian Inference Products with Normalizing Flows and Kernel Density EstimatorsCode1
Zero-Shot Logit AdjustmentCode1
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human ModelsCode1
A Framework for Improving the Reliability of Black-box Variational InferenceCode1
Knowledge Removal in Sampling-based Bayesian InferenceCode1
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Benchmark Results

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