SOTAVerified

Bayesian Inference

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

Papers

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Showing 251–300 of 2226 papers

TitleStatusHype
Simulation-based inference with the Python Package sbijax—0
Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model—0
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications—0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation—0
Novel Gradient Sparsification Algorithm via Bayesian Inference—0
Unrolled denoising networks provably learn optimal Bayesian inference—0
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models—0
Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline—0
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory—0
Localized Schrödinger Bridge Sampler—0
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
Triple equivalence for the emergence of biological intelligenceCode1
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms—0
Amortized Bayesian Workflow (Extended Abstract)—0
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping—0
Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Inverse decision-making using neural amortized Bayesian actorsCode0
Stein transport for Bayesian inference—0
A Stochastic Robust Adaptive Systems Level Approach to Stabilizing Large-Scale Uncertain Markovian Jump Linear Systems—0
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging—0
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models—0
Loss-based Bayesian Sequential Prediction of Value at Risk with a Long-Memory and Non-linear Realized Volatility Model—0
Amortized Bayesian Multilevel Models—0
General Intelligent Imaging and Uncertainty Quantification by Deterministic Diffusion Model—0
Fast Burst-Sparsity Learning Approach for Massive MIMO-OTFS Channel Estimation—0
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise—0
InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic modelsCode0
Value of Information and Reward Specification in Active Inference and POMDPs—0
Bayesian inference to improve quality of Retrieval Augmented Generation—0
Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations—0
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithmCode1
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability—0
Meta-Posterior Consistency for the Bayesian Inference of Metastable System—0
Identification and Inference for Synthetic Control Methods with Spillover Effects: Estimating the Economic Cost of the Sudan Split—0
Persistent Sampling: Enhancing the Efficiency of Sequential Monte CarloCode1
Neural Surrogate HMC: Accelerated Hamiltonian Monte Carlo with a Neural Network Surrogate Likelihood—0
Variational Inference Using Material Point Method—0
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection—0
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems—0
Subspace Constrained Variational Bayesian Inference for Structured Compressive Sensing with a Dynamic Grid—0
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals—0
SoftCVI: Contrastive variational inference with self-generated soft labelsCode0
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation—0
Variation Bayesian Interference for Multiple Extended Targets or Unresolved Group Targets Tracking—0
Improving Graph Out-of-distribution Generalization on Real-world Data—0
Variational Inference via Smoothed Particle Hydrodynamics—0
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsCode0
FedLog: Personalized Federated Classification with Less Communication and More Flexibility—0
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Benchmark Results

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