Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes - 惯性聚合

推荐订阅源

博客园 - Franky

Proofpoint News Feed

Palo Alto Networks Blog

Hackread – Cybersecurity News, Data Breaches, AI and More

The Register - Security

Security @ Cisco Blogs

Simon Willison's Weblog

Recorded Future

大猫的无限游戏

Microsoft Research Blog - Microsoft Research

Tailwind CSS Blog

cs.CV updates on arXiv.org

Cyber Security Advisories - MS-ISAC

Application and Cybersecurity Blog

True Tiger Recordings

有赞技术团队

Cisco Talos Blog

Hacker News - Newest: "LLM"

The GitHub Blog

cs.AI updates on arXiv.org

博客园 - 叶小钗

Hugging Face - Blog

Hacker News: Ask HN

Security Archives - TechRepublic

Future of Privacy Forum

PCI Perspectives

Help Net Security

让小产品的独立变现更简单 - ezindie.com

The Blog of Author Tim Ferriss

Netflix TechBlog - Medium

罗磊的独立博客

Apple Machine Learning Research

Security Latest

美团技术团队

博客园 - 三生石上(FineUI控件)

Schneier on Security

CERT Recently Published Vulnerability Notes

cs.LG updates on arXiv.org

Quantitative coronary calcification analysis for prediction of myocardial ischemia using non-contrast CT calcium scoring SCI-Defense: Defending Manipulation Attacks from Generative Engine Optimization CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification Machine learning prediction of obstructive coronary artery disease using opportunistic coronary calcium and epicardial fat assessments from CT calcium scoring scans Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy TBP-mHC: full expressivity for manifold-constrained hyper connections through transportation polytopes Beyond Single Slot: Joint Optimization for Multi-Slot Guaranteed Display Advertising stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation Toward Understanding Adversarial Distillation: Why Robust Teachers Fail Short-Term-to-Long-Term Memory Transfer for Knowledge Graphs under Partial Observability Models Can Model, But Can't Bind: Structured Grounding in Text-to-Optimization One-Way Policy Optimization for Self-Evolving LLMs TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems Equilibrium Propagation and Hamiltonian Inference in the Diffusive Fitzhugh-Nagumo Model CausalGuard: Conformal Inference under Graph Uncertainty Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation Provable Joint Decontamination for Benchmarking Multiple Large Language Models AgForce Enables Antigen-conditioned Generative Antibody Design Beyond Scalar Objectives: Expert-Feedback-Driven Autonomous Experimentation for Scientific Discovery at the Nanoscale When to Switch, Not Just What: Transition Quality Prediction in Clash Royale Optimal Guarantees for Auditing Rényi Differentially Private Machine Learning On-Policy Consistency Training Improves LLM Safety with Minimal Capability Degradation On the Sample Complexity of Discounted Reinforcement Learning with Optimized Certainty Equivalents Aerodynamic force reconstruction using physics-informed Gaussian processes Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series Tabular foundation models for robust calibration of near-infrared chemical sensing data An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction Double descent for least-squares interpolation on contaminated data: A simulation study ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Alike Parts: A Feature-Informed Approach to Local and Global Prototype Explanations MMD-Balls as Credal Sets: A PAC-Bayesian Framework for Epistemic Uncertainty in Test-Time Adaptation OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM Reasoning Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning Symbolic Density Estimation for Discrete Distributions Calibration, Uncertainty Communication, and Deployment Readiness in CKD Risk Prediction: A Framework Evaluation Study Representation Gap: Explaining the Unreasonable Effectiveness of Neural Networks from a Geometric Perspective Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents Ex-GraphRAG: Interpretable Evidence Routing for Graph-Augmented LLMs Three Costs of Amortizing Gaussian Process Inference with Neural Processes LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data Dynamic Mixture of Latent Memories for Self-Evolving Agents Beyond Euclidean Proximity: Repairing Latent World Models with Horizon-Matched Trajectory Reachability Metrics Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines How Sparsity Allocation Shapes Label-Free Post-Pruning Recoverability The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity Manifold-Guided Attention Steering Temporal Contrastive Transformer for Financial Crime Detection: Self-Supervised Sequence Embeddings via Predictive Contrastive Coding DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models $\textit{BlockFormer}$ : Transformer-based inference from interaction maps Harnesses for Inference-Time Alignment over Execution Trajectories Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction AutoMCU: Feasibility-First MCU Neural Network Customization via LLM-based Multi-Agent Systems PeakFocus: Bridging Peak Localization and Intensity Regression via a Unified Multi-Scale Framework for Electricity Load Forecasting Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation Noise Schedule Design for Diffusion Models: An Optimal Control Perspective Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series Leveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion Recognition Predicting Performance of Symbolic and Prompt Programs with Examples I-SAFE: Wasserstein Coherence Metrics for Structural Auditing of Scientific AI Models Don't Collapse Your Features: Why CenterLoss Hurts OOD Detection and Multi-Scale Mahalanobis Wins Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation HealthCraft: A Reinforcement Learning Safety Environment for Emergency Medicine Hierarchical Variational Policies for Reward-Guided Diffusion Check Your LLM's Secret Dictionary! Five Lines of Code Reveal What Your LLM Learned (Including What It Shouldn't Have) X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation EntmaxKV: Support-Aware Decoding for Entmax Attention From Parameters to Data: A Task-Parameter-Guided Fine-Tuning Pipeline for Efficient LLM Alignment Amplifying, Not Learning: Fine-Tuned AI Text Detectors Amplify a Pretrained Direction Value-Gradient Hypothesis of RL for LLMs From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization Energy-Gated Attention: Spectral Salience as an Inductive Bias for Transformer Attention Memory-Efficient Partitioned DNN Inference on Resource-Constrained Android Crowds PACD-Net: Pseudo-Augmented Contrastive Distillation for Glycemic Control Estimation from SMBG The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure? Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak The General Theory of Localization Methods Robust Recommendation from Noisy Implicit Feedback: A GMM-Weighted Bayes-label Transition Matrix Framework Decision-Path Patterns as Tree Reliability Signals: Path-based Adaptive Weighting for Random Forest Classification AGPO: Adaptive Group Policy Optimization with Dual Statistical Feedback ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations Design for Manufacturing: A Manufacturability Knowledge-Integrated Reinforcement Learning Framework for Free-Form Pipe Routing in Aeroengines Distributed Direct Preference Optimization Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals

Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes

Varsha Sharm · 2026-05-23 · via cs.LG updates on arXiv.org

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。