SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 2226 papers

TitleStatusHype
Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters EstimationCode1
Flexible and efficient emulation of spatial extremes processes via variational autoencodersCode0
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review—0
Variational Inference with Gaussian Score MatchingCode1
Variational Prediction—0
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout—0
Bayesian taut splines for estimating the number of modes—0
A generative flow for conditional sampling via optimal transportCode0
Incentive-Theoretic Bayesian Inference for Collaborative Science—0
Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference—0
Latent SDEs on Homogeneous SpacesCode0
BayesFlow: Amortized Bayesian Workflows With Neural NetworksCode2
Representation Learning via Variational Bayesian Networks—0
Predictive Coding beyond Correlations—0
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of ThoughtCode2
Bayesian inference and role of astrocytes in amyloid-beta dynamics with modelling of Alzheimer's disease using clinical data—0
A Hierarchical Bayesian Model for Deep Few-Shot Meta LearningCode0
A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias—0
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning—0
Bayesian Inverse Contextual Reasoning for Heterogeneous Semantics-Native Communication—0
Push: Concurrent Probabilistic Programming for Bayesian Deep LearningCode0
Bayesian Knowledge-driven Critiquing with Indirect Evidence—0
Entropy-based Training Methods for Scalable Neural Implicit Sampler—0
In-Context Learning through the Bayesian PrismCode0
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic ProgrammingCode0
Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging—0
Robust Bayesian Inference for Berkson and Classical Measurement Error Models—0
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive AdvantagesCode0
Metropolis-Hastings algorithm in joint-attention naming game: Experimental semiotics study—0
On Mixing Rates for Bayesian CART—0
Low-rank extended Kalman filtering for online learning of neural networks from streaming dataCode1
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in KenyaCode0
Recursive Metropolis-Hastings Naming Game: Symbol Emergence in a Multi-agent System based on Probabilistic Generative Models—0
Sparse species interactions reproduce abundance correlation patterns in microbial communities—0
Parallelized Acquisition for Active Learning using Monte Carlo SamplingCode1
A Bayesian sparse factor model with adaptive posterior concentration—0
Conditional score-based diffusion models for Bayesian inference in infinite dimensionsCode1
Bayesian inference and neural estimation of acoustic wave propagation—0
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming ApproachCode1
Improving Neural Additive Models with Bayesian PrinciplesCode0
Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks—0
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty—0
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo AlgorithmsCode0
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation—0
On the Convergence of Black-Box Variational Inference—0
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic LikelihoodCode0
Bayesian calibration of differentiable agent-based models—0
Simultaneous identification of models and parameters of scientific simulatorsCode0
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior InferenceCode0
Adversarial robustness of amortized Bayesian inferenceCode0
Show:102550
← PrevPage 12 of 45Next →

Benchmark Results

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