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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 951–1000 of 2226 papers

TitleStatusHype
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
Transformers Can Do Bayesian InferenceCode1
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 Novel Gaussian Process Based Ground Segmentation Algorithm with Local-Smoothness Estimation—0
Efficient Online Bayesian Inference for Neural BanditsCode1
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation—0
A sampling-based circuit for optimal decision making—0
Sampling with Trusthworthy Constraints: A Variational Gradient FrameworkCode0
Functional Variational Inference based on Stochastic Process Generators—0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained DomainCode0
Impression learning: Online representation learning with synaptic plasticityCode0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—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
Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach—0
Can Sequential Bayesian Inference Solve Continual Learning?—0
Probabilistic Deep Learning with Generalised Variational Inference—0
Bridging the reality gap in quantum devices with physics-aware machine learning—0
Bayesian Learning via Neural Schrödinger-Föllmer Flows—0
Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-trainingCode1
Kalman filters as the steady-state solution of gradient descent on variational free energy—0
Locally Learned Synaptic Dropout for Complete Bayesian InferenceCode1
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
Variational Multi-Task Learning with Gumbel-Softmax PriorsCode1
Empirical analysis of representation learning and exploration in neural kernel banditsCode0
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in NeuroimagingCode0
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian NetworksCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
Swift sky localization of gravitational waves using deep learning seeded importance samplingCode0
Aligned Multi-Task Gaussian Process—0
Locally Differentially Private Bayesian Inference—0
A Scalable Inference Method For Large Dynamic Economic Systems—0
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential EquationsCode1
Efficient Gradient Flows in Sliced-Wasserstein SpaceCode0
Pick-and-Mix Information Operators for Probabilistic ODE SolversCode1
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Benchmark Results

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