Copertina

Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Jun-Qi, Zhang, Kun, Zheng, Rui, Zhong, Ying
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence Machine Learning 60K99, 90-10, 93C65 I.6.2; I.2.2
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
di: Frommlet, Florian, et al.
Pubblicazione: (2025)

Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
di: Hubin, Aliaksandr
Pubblicazione: (2025)

Bayesian Conservative Policy Optimization (BCPO): A Novel Uncertainty-Calibrated Offline Reinforcement Learning with Credible Lower Bounds
di: Chatterjee, Debashis
Pubblicazione: (2026)

Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
di: Høyheim, Eirik, et al.
Pubblicazione: (2025)

Accurate, scalable, and efficient Bayesian optimal experimental design with derivative-informed neural operators
di: Go, Jinwoo, et al.
Pubblicazione: (2023)

Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement Learning
di: Pu, Qingwen, et al.
Pubblicazione: (2026)

Manifold Percolation: from generative model to Reinforce learning
di: Tong, Rui
Pubblicazione: (2025)

Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
di: de Albuquerque, Daniela, et al.
Pubblicazione: (2024)

Sensitivity Uncertainty Alignment in Large Language Models
di: Hiremath, Prakul Sunil, et al.
Pubblicazione: (2026)

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews
di: Okpala, Izunna, et al.
Pubblicazione: (2025)

Queue up for takeoff: a transferable deep learning framework for flight delay prediction
di: Aghanya, Nnamdi Daniel, et al.
Pubblicazione: (2025)

Evolutionary Data Theory: On the Similarities between Data Problems and Evolutionary Games
di: Wissgott, Philipp
Pubblicazione: (2026)

Fractional-Boundary-Regularized Deep Galerkin Method for Variational Inequalities in Mixed Optimal Stopping and Control
di: Zhao, Yun, et al.
Pubblicazione: (2025)

Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
di: Luzio, Emanuele, et al.
Pubblicazione: (2025)

Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
di: Galvão, Luciano Ribeiro, et al.
Pubblicazione: (2025)

Self-Organizing Railway Traffic Management
di: Naldini, Federico, et al.
Pubblicazione: (2026)

Genetic AI: Evolutionary Games for ab initio dynamic Multi-Objective Optimization
di: Wissgott, Philipp
Pubblicazione: (2025)

Robustness, Cost, and Attack-Surface Concentration in Phishing Detection
di: Allagan, Julian, et al.
Pubblicazione: (2026)

A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems
di: Farimani, Mohsen Jalaeian, et al.
Pubblicazione: (2026)

Transformer self-attention encoder-decoder with multimodal deep learning for response time series forecasting and digital twin support in wind structural health monitoring
di: Zhou, Feiyu, et al.
Pubblicazione: (2026)

On the Accuracy of Newton Step and Influence Function Data Attributions
di: Rubinstein, Ittai, et al.
Pubblicazione: (2025)

Robustness Auditing for Linear Regression: To Singularity and Beyond
di: Rubinstein, Ittai, et al.
Pubblicazione: (2024)

Using Variable Interaction Graphs to Improve Particle Swarm Optimization
di: Czworkowski, Caz L., et al.
Pubblicazione: (2025)

Reinterpreting EMML as Mirror Descent for Constrained Maximum Likelihood Estimation
di: Clerc, Antonin, et al.
Pubblicazione: (2026)

Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
di: Benitez, Edgar, et al.
Pubblicazione: (2024)

The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence
di: Pollanen, Marco
Pubblicazione: (2026)

Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification
di: Dominguez, Alejandro Rodriguez, et al.
Pubblicazione: (2025)

Echo State Networks as State-Space Models: A Systems Perspective
di: Singh, Pradeep, et al.
Pubblicazione: (2025)

Robust Uncertainty Quantification for Factual Generation of Large Language Models
di: Zhang, Yuhao, et al.
Pubblicazione: (2026)

Artificial intelligence and downscaling global climate model future projections
di: Benestad, Rasmus E.
Pubblicazione: (2026)

Detecting Sleeper Agents in Large Language Models via Semantic Drift Analysis
di: Zanbaghi, Shahin, et al.
Pubblicazione: (2025)

Autonomous AI Agents for Real-Time Affordable Housing Site Selection: Multi-Objective Reinforcement Learning Under Regulatory Constraints
di: Imanov, Olaf Yunus Laitinen, et al.
Pubblicazione: (2026)

New Perspectives on the Erlang-A Queue
di: Daw, Andrew, et al.
Pubblicazione: (2017)

A Sufficient-Statistic Reduction of the Information Bottleneck to a Low-Dimensional Problem
di: Armstrong, Joss
Pubblicazione: (2026)

Pre-trained Visual Representations Generalize Where it Matters in Model-Based Reinforcement Learning
di: Jones, Scott, et al.
Pubblicazione: (2025)

ARCADIA: Scalable Causal Discovery for Corporate Bankruptcy Analysis Using Agentic AI
di: Maturo, Fabrizio, et al.
Pubblicazione: (2025)

Securing Radiation Detection Systems with an Efficient TinyML-Based IDS for Edge Devices
di: Pizarro, Einstein Rivas, et al.
Pubblicazione: (2025)

An Efficient Intrusion Detection System for Safeguarding Radiation Detection Systems
di: Coolidge, Nathanael, et al.
Pubblicazione: (2025)

Alignment Verifiability in Large Language Models: Normative Indistinguishability under Behavioral Evaluation
di: Santos-Grueiro, Igor
Pubblicazione: (2026)

Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
di: Khan, Koffka
Pubblicazione: (2025)