“git diffの内容を踏まえて自動的にコミットメッセージを作りgit commitするClaude Codeのスキル（Agent Skill）を作りました。”

“Since the quality of data-driven ROMs is sensitive to the quality of the limited training data, we seek to identify training parameters for which using the associated training data results in the best possible parametric ROM.”

“The paper presents an online variational inference framework to compute its approximation at each time step.”

“ProDM significantly improves CAC scoring accuracy, spatial lesion fidelity, and risk stratification performance compared with several baselines.”

“AODDiff inherently enables uncertainty quantification via multiple sampling, offering critical confidence metrics for downstream applications.”

“DTI-GP outperforms state-of-the-art solutions, and it allows (1) the construction of a Bayesian accuracy-confidence enrichment score, (2) rejection schemes for improved enrichment, and (3) estimation and search for top-$K$ selections and ranking with high expected utility.”

“The paper introduces a general, model-agnostic training and inference framework for joint generative forecasting and shows how it enables assessment of forecast robustness and reliability using three complementary uncertainty quantification metrics.”

“The method couples a high-fidelity, asymptotic-preserving VPL solver with inexpensive, strongly correlated surrogates based on the Vlasov--Poisson--Fokker--Planck (VPFP) and Euler--Poisson (EP) equations.”

“The paper develops a theoretical framework based on the Neural Tangent Kernel (NTK) to analyse the training dynamics of neural networks, providing a quantitative description of how uncertainties are propagated from the data to the fitted function.”

“The Composite Reliability Score (CRS) delivers stable model rankings, uncovers hidden failure modes missed by single metrics, and highlights that the most dependable systems balance accuracy, robustness, and calibrated uncertainty.”

“The paper employs Bayesian model calibration (BMC) for probabilistic estimates of material parameters and conducts global sensitivity analysis to quantify the impact of uncertainties.”

“The proposed preconditioners significantly accelerate the convergence of iterative solvers compared to existing methods.”

“The Bayesian joint model consistently outperforms conventional two-stage approaches in terms of parameter estimation accuracy and predictive performance.”

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“DCK consistently outperforms conventional approaches in predictive accuracy and uncertainty quantification.”

“The model was able to successfully identify the uncertain regions in the simulated data and match the magnitude of the uncertainty. In real-case scenarios, the optimised model was not overconfident nor underconfident when estimating from test data: for example, for a 95% prediction interval, 95% of the true observations were inside the prediction interval.”

“A last-layer Laplace approximation yields uncertainty estimates that correlate well with segmentation errors, indicating a meaningful signal.”

“The paper introduces the Bayesian effective dimension, a model- and prior-dependent quantity defined through the mutual information between parameters and data.”

“The paper defines five types of heterogeneity, proposes a 'heterogeneity distance' for quantification, and demonstrates a dynamic parameter sharing algorithm based on this methodology.”

“VACP achieves 89.7 percent empirical coverage (90 percent target) while reducing the mean prediction set size from 847 tokens to 4.3 tokens -- a 197x improvement in efficiency.”

“The paper introduces "Trustworthy Variational Bayes (TVB), a method to recalibrate the UQ of broad classes of VB procedures... Our approach follows a bend-to-mend strategy: we intentionally misspecify the likelihood to correct VB's flawed UQ.”

“DICE achieves 85.7% agreement with human experts, substantially outperforming existing LLM-based metrics such as RAGAS.”

“The paper identifies and addresses 'activation-dependent learning-freeze behavior' in EDL models and proposes a solution through generalized activation functions and regularizers.”

“The network achieves an overall relative error of 1.2% and extrapolates successfully to nuclei not included in training.”

“The results demonstrate consistent segmentation across diverse geometries and reveal coordinated epithelial-lumen remodeling, breakdown of morphometric homeostasis during collapse, and transient biophysical fluctuations during fusion.”

“The method does not rely on assumptions about absolute contamination levels or reaction-model calculations, and enables a consistent and reliable determination of Ca$(p,pα)$ yields across the calcium isotopic chain.”

“The research focuses on flow field reconstruction.”

“The paper proposes rules for rebalancing that gate trades through magnitude-based thresholds and posterior activation probabilities, thereby trading off expected tracking error against turnover and portfolio size.”

“Diffusion models offer a flexible framework for SBI tasks, addressing pain points of normalizing flows and offering robustness in non-ideal data conditions.”

“The paper develops a tractable inferential framework that avoids label enumeration and direct simulation of the latent state, exploiting a duality between the diffusion and a pure-death process on partitions.”

“The proposed methods yield improved coverage properties and computational efficiency relative to existing approaches.”

“Our models predict entanglement without requiring the full state information.”

“"microprobe completes reliability assessment with 99.9% statistical power while representing a 90% reduction in assessment cost and maintaining 95% of traditional method coverage."”

“The research focuses on optimizing decoding paths within Masked Diffusion Models.”

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“Rapid and efficient response to disaster events is essential for climate resilience and sustainability.”

“We develop a generative perspective on hyper-parameter tuning that combines two ideas: (i) optimization-based approximations to Bayesian posteriors via randomized, weighted objectives (weighted Bayesian bootstrap), and (ii) amortization of repeated optimization across many hyper-parameter settings by learning a transport map from hyper-parameters (including random weights) to the corresponding optimizer.”

“The paper likely introduces a novel methodology to address the limitations of existing XAI methods, given the title's focus.”

“The research focuses on Automated Concrete Bridge Deck Delamination Detection.”

“The article's source is ArXiv, suggesting it's a pre-print research paper.”

“The paper focuses on quantifying uncertainty from the pre-training corpus for Dynamic Retrieval-Augmented Generation.”

“The research focuses on consistent Bayesian meta-analysis on subgroup specific effects and interactions.”

“The context mentions the use of mobile gamma-ray spectrometry systems.”

“The research focuses on Physics-Informed Neural Networks and Uncertainty Quantification.”

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“The article is sourced from ArXiv, indicating a pre-print or research paper.”

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