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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 1051–1100 of 2226 papers

TitleStatusHype
A visual exploration of Gaussian Processes and Infinite Neural Networks—0
Bayesian sense of time in biological and artificial brains—0
An Overview of Uncertainty Quantification Methods for Infinite Neural Networks—0
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture ModelsCode0
SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery—0
Loss-calibrated expectation propagation for approximate Bayesian decision-making—0
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband ItemsCode0
Classifying Turbulent Environments via Machine Learning—0
Bayesian Invariant Risk Minimization—0
Inferring perceptual decision making parameters from behavior in production and reproduction tasks—0
Interpreting Dynamical Systems as Bayesian Reasoners—0
Surrogate Likelihoods for Variational Annealed Importance Sampling—0
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
Data fission: splitting a single data point—0
Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFNα therapy against Myeloproliferative Neoplasms—0
Predictive Coding Theories of Cortical Function—0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural NetworksCode0
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers—0
Unified field theoretical approach to deep and recurrent neuronal networks—0
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks—0
A Bayesian take on option pricing with Gaussian processes—0
Active Inference in Robotics and Artificial Agents: Survey and Challenges—0
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems—0
A sampling-based circuit for optimal decision making—0
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation—0
Sampling with Trusthworthy Constraints: A Variational Gradient FrameworkCode0
A Novel Gaussian Process Based Ground Segmentation Algorithm with Local-Smoothness Estimation—0
Impression learning: Online representation learning with synaptic plasticityCode0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained DomainCode0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—0
Functional Variational Inference based on Stochastic Process Generators—0
A category theory framework for Bayesian learning—0
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian InferenceCode0
Forget-SVGD: Particle-Based Bayesian Federated Unlearning—0
Probabilistic Deep Learning with Generalised Variational Inference—0
Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach—0
Can Sequential Bayesian Inference Solve Continual Learning?—0
Bridging the reality gap in quantum devices with physics-aware machine learning—0
Bayesian Learning via Neural Schrödinger-Föllmer Flows—0
Kalman filters as the steady-state solution of gradient descent on variational free energy—0
The "Bayesian" brain, with a bit less Bayes—0
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks—0
Bayesian inference of the climbing grade scale—0
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence—0
Multi-Task Neural Processes—0
Empirical analysis of representation learning and exploration in neural kernel banditsCode0
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in NeuroimagingCode0
Swift sky localization of gravitational waves using deep learning seeded importance samplingCode0
Aligned Multi-Task Gaussian Process—0
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Benchmark Results

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