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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 251–275 of 2226 papers

TitleStatusHype
Simulation-based inference with the Python Package sbijax—0
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications—0
Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model—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
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Benchmark Results

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