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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 2151–2200 of 2226 papers

TitleStatusHype
Variational Autoencoders for Collaborative FilteringCode0
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQLCode0
Bayesian reconstruction of memories stored in neural networks from their connectivityCode0
Inferring Fitness in Finite Populations with Moran-like dynamicsCode0
Bayesian inference for PCA and MUSIC algorithms with unknown number of sourcesCode0
Particle Mean Field Variational BayesCode0
Teaching deep neural networks to localize single molecules for super-resolution microscopyCode0
Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural NetworksCode0
Path-Guided Particle-based SamplingCode0
Approximate Bayesian Neural Doppler ImagingCode0
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsCode0
On the Expressiveness of Approximate Inference in Bayesian Neural NetworksCode0
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noiseCode0
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon SynapseCode0
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty RegularizationCode0
Sensitivity-Aware Amortized Bayesian InferenceCode0
Amortized Variational Inference: When and Why?Code0
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modelingCode0
Variational Sequential Monte CarloCode0
Interactive Learning of Physical Object Properties Through Robot Manipulation and Database of Object MeasurementsCode0
Extended molt phenology models improve inferences about molt duration and timingCode0
Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive ModelsCode0
Bayesian Inference ForgettingCode0
Unbiased Bayesian Inference for Population Markov Jump Processes via Random TruncationsCode0
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial SettingsCode0
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation MatrixCode0
Bayesian PseudocoresetsCode0
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic modelsCode0
Invariant polynomials and machine learningCode0
Inverse decision-making using neural amortized Bayesian actorsCode0
Inverse Ising problem in continuous time: A latent variable approachCode0
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN samplerCode0
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance SpectroscopyCode0
Is In-Context Learning in Large Language Models Bayesian? A Martingale PerspectiveCode0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural NetworksCode0
Sequential Likelihood-Free Inference with Neural ProposalCode0
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference NetworkCode0
Amortized variational transdimensional inferenceCode0
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband ItemsCode0
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank DeterminationCode0
Population Empirical BayesCode0
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion ModelsCode0
Sequential transport maps using SoS density estimation and α-divergencesCode0
Neural Posterior Regularization for Likelihood-Free InferenceCode0
sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte CarloCode0
Sharing deep generative representation for perceived image reconstruction from human brain activityCode0
Posterior SBC: Simulation-Based Calibration Checking Conditional on DataCode0
Variational Bayesian Bow tie Neural Networks with ShrinkageCode0
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Benchmark Results

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