Simulation-Based Inference
PulseAugur coverage of Simulation-Based Inference — every cluster mentioning Simulation-Based Inference across labs, papers, and developer communities, ranked by signal.
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New SBI Framework Tackles Systematic Uncertainties in High-Dimensional Data
Researchers have developed a new Simulation-Based Inference (SBI) framework designed to tackle the computational challenges of profiling systematic uncertainties in high-dimensional data analyses. This novel approach ut…
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Simulation-based inference offers faster Bayesian calibration for epidemiological models
A new research paper proposes simulation-based inference (SBI) as a faster and more efficient alternative to Markov chain Monte Carlo (MCMC) for calibrating epidemiological models. The study, which used COVID-19 ICU occ…
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Deep Neural Network Method Enhances Particle Physics Inference
A new paper on arXiv introduces a Simulation-Based Inference (SBI) method for estimating resonance parameters in particle physics, particularly for the rho(770) resonance. This deep neural network-driven approach demons…
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New research explores theoretical guidelines for Langevin dynamics in AI sampling
Researchers have published theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference, aiming to improve sampling accuracy by providing explicit decision rules for hyperparameters.…
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New method boosts neural likelihood surrogate training efficiency
Researchers have developed a new method to improve the efficiency of training neural likelihood surrogates for stochastic process models. By augmenting the standard loss function with exact score information and adaptiv…