Image de couverture de livre

Generative AI-driven forecasting of oil production

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gandhi, Yash, Zheng, Kexin, Jha, Birendra, Nomura, Ken-ichi, Nakano, Aiichiro, Vashishta, Priya, Kalia, Rajiv K.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Beyond Scaling: Chemical Intuition as Emergent Ability of Universal Machine Learning Interatomic Potentials
par: Hattori, Shinnosuke, et autres
Publié: (2025)

Emerging Ferroelectric Domains: Stacking and Rotational Landscape of MoS2 Moire Bilayers
par: Aditya, Anikeya, et autres
Publié: (2025)

Allegro-FM: Towards Equivariant Foundation Model for Exascale Molecular Dynamics Simulations
par: Nomura, Ken-ichi, et autres
Publié: (2025)

AI models of unstable flow exhibit hallucination
par: Wibawa, Ramdhan, et autres
Publié: (2026)

Multiscale light-matter dynamics in quantum materials: from electrons to topological superlattices
par: Razakh, Taufeq Mohammed, et autres
Publié: (2025)

Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks
par: Kontes, Georgios, et autres
Publié: (2025)

Next-generation reservoir computing validated by classification task
par: Kitayama, Ken-ichi
Publié: (2025)

Catalysis in Extreme Field Environments: The Case of Strongly Ionized $SiO_{2}$ Nanoparticle Surfaces
par: Linker, Thomas M., et autres
Publié: (2024)

DemandCast: Global hourly electricity demand forecasting
par: Steijn, Kevin, et autres
Publié: (2025)

Data driven feedback linearization of nonlinear control systems via Lie derivatives and stacked regression approach
par: K., Lakshmi Priya P., et autres
Publié: (2025)

Data-driven models for production forecasting and decision supporting in petroleum reservoirs
par: Fernandes, Mateus A., et autres
Publié: (2025)

An Alternative Trajectory for Generative AI
par: Belova, Margarita, et autres
Publié: (2026)

ELSA: A Style Aligned Dataset for Emotionally Intelligent Language Generation
par: Gandhi, Vishal, et autres
Publié: (2025)

KFS: KAN based adaptive Frequency Selection learning architecture for long term time series forecasting
par: Wu, Changning, et autres
Publié: (2025)

On uncertainty-penalized Bayesian information criterion
par: Thanasutives, Pongpisit, et autres
Publié: (2024)

Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discovery
par: Thanasutives, Pongpisit, et autres
Publié: (2024)

Gradient Flow Convergence Guarantee for General Neural Network Architectures
par: Jakhmola, Yash
Publié: (2025)

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework
par: Chu, Kexin
Publié: (2026)

Data-driven solar forecasting enables near-optimal economic decisions
par: Dai, Zhixiang, et autres
Publié: (2025)

Data-driven jet fuel demand forecasting: A case study of Copenhagen Airport
par: Contini, Alessandro, et autres
Publié: (2025)

Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction
par: Jiang, Kexin, et autres
Publié: (2024)

Aardvark weather: end-to-end data-driven weather forecasting
par: Vaughan, Anna, et autres
Publié: (2024)

Benchmarking AI-based data assimilation to advance data-driven global weather forecasting
par: Wang, Wuxin, et autres
Publié: (2024)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities
par: Meo, Cristian, et autres
Publié: (2024)

Stability and Generalization in Free Adversarial Training
par: Cheng, Xiwei, et autres
Publié: (2024)

Throughput Optimization as a Strategic Lever in Large-Scale AI Systems: Evidence from Dataloader and Memory Profiling Innovations
par: Jha, Mayank
Publié: (2026)

PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
par: Li, Chia-Hao, et autres
Publié: (2024)

Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization
par: Patel, Yash, et autres
Publié: (2025)

Data driven weather forecasts trained and initialised directly from observations
par: McNally, Anthony, et autres
Publié: (2024)

Generative forecasting with joint probability models
par: Wyrod, Patrick, et autres
Publié: (2025)

PF$Δ$: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
par: Rivera, Ana K., et autres
Publié: (2025)

Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI
par: Mototake, Yoh-ichi, et autres
Publié: (2025)

Safety Pretraining: Toward the Next Generation of Safe AI
par: Maini, Pratyush, et autres
Publié: (2025)

Generative AI, Managerial Expectations, and Economic Activity
par: Jha, Manish, et autres
Publié: (2024)

Capturing the Topological Phase Transition and Thermodynamics of the 2D XY Model via Manifold-Aware Score-Based Generative Modeling
par: Jha, Pratyush
Publié: (2026)

Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data
par: Biswas, Biplob, et autres
Publié: (2024)

From Logits to Latents: Contrastive Representation Shaping for LLM Unlearning
par: Tang, Haoran, et autres
Publié: (2026)

Sharpness-Aware Machine Unlearning
par: Tang, Haoran, et autres
Publié: (2025)

Towards Credit-Fraud Detection via Sparsely Varying Gaussian Approximations
par: Sharma, Harshit, et autres
Publié: (2020)

Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study
par: Schmid, Lena, et autres
Publié: (2023)