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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 176–200 of 2226 papers

TitleStatusHype
Learning by example: fast reliability-aware seismic imaging with normalizing flowsCode1
Learning to Generalize across Domains on Single Test SamplesCode1
Lifelong Incremental Reinforcement Learning with Online Bayesian InferenceCode1
Low-rank extended Kalman filtering for online learning of neural networks from streaming dataCode1
Memory-Based Meta-Learning on Non-Stationary DistributionsCode1
Automatic Posterior Transformation for Likelihood-Free InferenceCode1
Particle Flow Bayes' RuleCode1
Accelerated Bayesian SED Modeling using Amortized Neural Posterior EstimationCode1
Monte Carlo guided Diffusion for Bayesian linear inverse problemsCode1
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time SeriesCode1
Neural Superstatistics for Bayesian Estimation of Dynamic Cognitive ModelsCode1
Understanding and Accelerating Particle-Based Variational InferenceCode1
Calibrating Transformers via Sparse Gaussian ProcessesCode1
Parallelized Acquisition for Active Learning using Monte Carlo SamplingCode1
Parallel Streaming Wasserstein BarycentersCode1
Efficient Online Bayesian Inference for Neural BanditsCode1
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inferenceCode1
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection areaCode1
Validated Variational Inference via Practical Posterior Error BoundsCode1
Probabilistic AutoencoderCode1
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential EquationsCode1
Projected Stein Variational Gradient DescentCode1
Pick-and-Mix Information Operators for Probabilistic ODE SolversCode1
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical ImagingCode1
πVAE: a stochastic process prior for Bayesian deep learning with MCMCCode1
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Benchmark Results

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