Imagen de Portada

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bai, Haoyue, Chen, Guodong, Ying, Wangyang, Wang, Xinyuan, Gong, Nanxu, Dong, Sixun, Pedrielli, Giulia, Wang, Haoyu, Chen, Haifeng, Fu, Yanjie
Formato:	Preprint
Publicado:	2025
Materias:	Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
por: Gong, Nanxu, et al.
Publicado: (2025)

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
por: Ying, Wangyang, et al.
Publicado: (2025)

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
por: Gong, Nanxu, et al.
Publicado: (2025)

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies
por: Bai, Haoyue, et al.
Publicado: (2025)

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation
por: Wang, Xinyuan, et al.
Publicado: (2025)

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation
por: Gong, Nanxu, et al.
Publicado: (2025)

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
por: Wang, Xinyuan, et al.
Publicado: (2025)

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective
por: Ying, Wangyang, et al.
Publicado: (2025)

Data-Efficient Symbolic Regression via Foundation Model Distillation
por: Ying, Wangyang, et al.
Publicado: (2025)

Evolutionary Large Language Model for Automated Feature Transformation
por: Gong, Nanxu, et al.
Publicado: (2024)

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation
por: Gong, Nanxu, et al.
Publicado: (2024)

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
por: Wang, Dongjie, et al.
Publicado: (2025)

Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
por: Bai, Haoyue, et al.
Publicado: (2025)

To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
por: Gong, Nanxu, et al.
Publicado: (2026)

Topology-aware Reinforcement Feature Space Reconstruction for Graph Data
por: Ying, Wangyang, et al.
Publicado: (2024)

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent
por: Wang, Xinyuan, et al.
Publicado: (2024)

Distribution Shift Aware Neural Tabular Learning
por: Ying, Wangyang, et al.
Publicado: (2025)

Feature Selection as Deep Sequential Generative Learning
por: Ying, Wangyang, et al.
Publicado: (2024)

Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage
por: Tang, Haoyu, et al.
Publicado: (2024)

Branching Adaptive Surrogate Search Optimization (BASSO)
por: Maneekul, Pariyakorn, et al.
Publicado: (2025)

MultiCoSim: A Python-based Multi-Fidelity Co-Simulation Framework
por: Thibeault, Quinn, et al.
Publicado: (2025)

Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2025)

Surrogate Model for Geological CO2 Storage and Its Use in Hierarchical MCMC History Matching
por: Han, Yifu, et al.
Publicado: (2023)

Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
por: Bai, Haoyue
Publicado: (2024)

Reinforcement Learning‐Based Injection Schedules for CO 2 Geological Storage Under Operation Constraints
por: Suryeom Jo, et al.
Publicado: (2025)

A Stochastic Record-Value Approach to Global Simulation Optimization
por: Rele, Rohan, et al.
Publicado: (2024)

Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
por: Bai, Haoyue, et al.
Publicado: (2025)

Autonomous Data Agents: A New Opportunity for Smart Data
por: Fu, Yanjie, et al.
Publicado: (2025)

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2025)

Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2025)

Reinforcement Feature Transformation for Polymer Property Performance Prediction
por: Hu, Xuanming, et al.
Publicado: (2024)

Continuous CO2 Injection for Simultaneous Geological Storage and Enhanced Oil Recovery: Experimental Investigation on the Effects of Permeability Heterogeneity
por: Shayan Faghihi, et al.
Publicado: (2025)

Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
por: Ying, Wangyang, et al.
Publicado: (2026)

Bridging Design and Development with Automated Declarative UI Code Generation
por: Zhou, Ting, et al.
Publicado: (2024)

PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems
por: Wang, Haozhen, et al.
Publicado: (2026)

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives
por: Dong, Sixun, et al.
Publicado: (2025)

Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning
por: Chen, Jungang, et al.
Publicado: (2024)

Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations
por: Gong, Nanxu, et al.
Publicado: (2026)

Causality by Abstraction: Symbolic Rule Learning in Multivariate Timeseries with Large Language Models
por: Biswas, Preetom, et al.
Publicado: (2026)

Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2026)