i-2-6

Documents about i-2-6

• Predicting California Bearing Ratio with Ensemble and Neural Network Models: A Case Study from Turkiye#927196arXiv (All)
• Statevector-to-Hardware Reconstruction of a Four-Qubit ZZ Quantum Kernel: A Single-Backend Case Study of Three Execution Jobs#998308arXiv (All)
• When Many-Shot Prompting Fails: An Empirical Study of LLM Code Translation#1036589arXiv (All)
• Diversity of EML-type operators#998758arXiv (All)
• PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming#152956arXiv (OAI)
• Elastocaloric Effect in Graphene Kirigami#974141arXiv (All)
• ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping#986130arXiv (All)
• Low-Dose CT for Stroke Diagnosis: A Dual-Pipeline Deep Learning Framework for Portable Neuroimaging#987626arXiv (All)
• Detectable Only Where It Is Confounded: What Verified Duplication Counts Say About Membership Evidence in Language Models#997811arXiv (All)
• The Internal Anatomy of Strategic Choice in Large Language Models#1012330arXiv (All)
• Decoupling is a Necessity: Transformation-Agnostic Decompiled Code Recovery under Optimization and Obfuscation#779796arXiv (OAI Expanded)
• Decoupling is a Necessity: Transformation-Agnostic Decompiled Code Recovery under Optimization and Obfuscation#781171arXiv (All)
• Plans They Abandon, Reports They Author: The Narrative Layer of Autonomous Agents#1000169arXiv (All)
• Learning to Solve Two-Stage Stochastic Unit Commitment Problems with Quality Guarantees#1013017arXiv (All)
• Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms#809224arXiv (OAI Expanded)
• Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms#819216arXiv (All)
• Electrospun Fields: 3D Nano-Fiber Material Computation as Design Method#972549arXiv (All)
• HFEMCNet: A Compact Hybrid Frequency Enriched Multi Channel Network for Automatic Modulation Classification#1036822arXiv (All)
• SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning#790214arXiv (OAI Expanded)
• SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning#794233arXiv (All)
• Decision-Focused Learning for Mean-Variance Portfolio Optimization via KKT-Based Reformulation#1035831arXiv (All)
• Evaluating GNNs for Success Prediction in Artist Collaboration Networks#921067arXiv (OAI Expanded)
• Evaluating GNNs for Success Prediction in Artist Collaboration Networks#925303arXiv (All)
• Numbat: Building and Verifying a Self-Contained Machine-Learning Stack#997632arXiv (All)
• ARQ: Agentic CodeQL Query Refinement for C/C++ Vulnerability Detection#657063arXiv (OAI Expanded)
• ARQ: Agentic CodeQL Query Refinement for C/C++ Vulnerability Detection#659199arXiv (All)
• BEACON: Behavioral and Semantic Enrichment of AlphaEarth Embeddings through Tri-Modal Contrastive Learning#796785arXiv (OAI Expanded)
• BEACON: Behavioral and Semantic Enrichment of AlphaEarth Embeddings through Tri-Modal Contrastive Learning#798198arXiv (All)
• Stop Removing Stopwords: How an Inherited Preprocessing Default Distorts Legal Text-as-Data#1013754arXiv (All)
• Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting#973039arXiv (All)
• A Content-Addressed Workflow for Reproducible DANTE Gravitational-Wave Anomaly Analysis#986025arXiv (All)
• Finite-Sample Unbiased Variance of MMD under Unbalanced Sampling: Exact Estimation and Quasi-Linear Computation#1011033arXiv (All)
• SensorWF: A FAIR Generalizable Workflow Framework for Scientific Time-Series Analysis#1035080arXiv (All)
• CurvFlow-DTA: dual-graph discrete Ricci curvature flow for drug--target affinity prediction#1037545arXiv (All)
• Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening#1036964arXiv (All)
• A Quantitative Evaluation Framework for Temporal Explainability in Echocardiographic Video Segmentation#985439arXiv (All)
• SetPlanner: A Lightweight Plug-in Point-Set Planner for Frozen SAM#1011744arXiv (All)
• LLM-Generated Feature Pools for Time Series Anomaly Detection#1036190arXiv (All)
• Inductive Venn-Abers and related regressors#971802arXiv (All)
• Certified AI Triage of ICU Alarms#1000320arXiv (All)
• Mind the Rift: Cross-Scale Coupling Mismatch for AI-Generated Video Detection#820755arXiv (All)
• A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation Data#821547arXiv (All)
• From Street Form to Spatial Justice: Explaining Urban Exercise Inequality via a Triadic SHAP-Informed Framework#925792arXiv (All)
• Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy#779728arXiv (OAI Expanded)
• Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy#781103arXiv (All)
• How a Cooperative-Override Circuit Suppresses Nash Play in Large Language Models#1035477arXiv (All)
• Reproducible Evaluation of MoE Expert Caching: Replay Semantics, Workload Contamination, and Operating Regimes#668672arXiv (OAI Expanded)
• Reproducible Evaluation of MoE Expert Caching: Replay Semantics, Workload Contamination, and Operating Regimes#670737arXiv (All)
• Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions#627848arXiv (OAI Expanded)
• Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions#629710arXiv (All)