Cover Image

Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zeng, Shiqin, Li, Haoyun, Gahlot, Abhinav Prakash, Herrmann, Felix J.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring
by: Gahlot, Abhinav Prakash, et al.
Published: (2024)

A reduced-order derivative-informed neural operator for subsurface fluid-flow
by: Park, Jeongjin, et al.
Published: (2025)

Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling
by: Gahlot, Abhinav Prakash, et al.
Published: (2025)

BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows $-$ a case study in optimal monitor well placement for CO$_2$ sequestration
by: Orozco, Rafael, et al.
Published: (2024)

Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology
by: Gahlot, Abhinav Prakash, et al.
Published: (2025)

Power-scaled Bayesian Inference with Score-based Generative Models
by: Erdinc, Huseyin Tuna, et al.
Published: (2025)

Probabilistic Joint Recovery Method for CO$_2$ Plume Monitoring
by: Deng, Zijun, et al.
Published: (2025)

Well log data generation and imputation using sequence-based generative adversarial networks
by: Al-Fakih, Abdulrahman, et al.
Published: (2024)

Flow marching for a generative PDE foundation model
by: Chen, Zituo, et al.
Published: (2025)

Conditional score-based diffusion models for solving inverse problems in mechanics
by: Dasgupta, Agnimitra, et al.
Published: (2024)

Self-Speculative Biased Decoding for Faster Re-Translation
by: Zeng, Linxiao, et al.
Published: (2025)

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
by: Tayal, Mumuksh, et al.
Published: (2026)

Applying sparse autoencoders to unlearn knowledge in language models
by: Farrell, Eoin, et al.
Published: (2024)

Synthetic data in cryptocurrencies using generative models
by: Sousa, André Saimon S., et al.
Published: (2026)

Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
by: Akhtar, Sheikh Waqas
Published: (2024)

Scaling and evaluating sparse autoencoders
by: Gao, Leo, et al.
Published: (2024)

Are foundation models useful feature extractors for electroencephalography analysis?
by: Turgut, Özgün, et al.
Published: (2025)

Celo2: Towards Learned Optimization Free Lunch
by: Moudgil, Abhinav, et al.
Published: (2026)

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics
by: Zhou, Hao, et al.
Published: (2026)

Towards trustable SHAP scores
by: Letoffe, Olivier, et al.
Published: (2024)

An attempt to generate new bridge types from latent space of energy-based model
by: Zhang, Hongjun
Published: (2024)

Weight-sparse transformers have interpretable circuits
by: Gao, Leo, et al.
Published: (2025)

Explaining latent representations of generative models with large multimodal models
by: Zhu, Mengdan, et al.
Published: (2024)

Multi-modal perception for soft robotic interactions using generative models
by: Donato, Enrico, et al.
Published: (2024)

Cross-Modal Reconstruction Pretraining for Ramp Flow Prediction at Highway Interchanges
by: Li, Yongchao, et al.
Published: (2025)

Can sparse autoencoders be used to decompose and interpret steering vectors?
by: Mayne, Harry, et al.
Published: (2024)

Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
by: Adler, Coen, et al.
Published: (2025)

Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory
by: Prakash, Hari K., et al.
Published: (2026)

RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
by: Bhatia, Abhinav, et al.
Published: (2023)

Flow Matching in the Low-Noise Regime: Pathologies and a Contrastive Remedy
by: Zeng, Weili, et al.
Published: (2025)

Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
by: Rahmani, Abdellah, et al.
Published: (2025)

Accelerating Full Waveform Inversion By Transfer Learning
by: Singh, Divya Shyam, et al.
Published: (2024)

Weakly Supervised Learning on Large Graphs
by: Prakash, Aditya
Published: (2025)

InFusionLayer: a CFA-based ensemble tool to generate new classifiers for learning and modeling
by: Roginek, Eric, et al.
Published: (2026)

Variational measurement-based quantum computation for generative modeling
by: Majumder, Arunava, et al.
Published: (2023)

Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations
by: Pregowska, Agnieszka, et al.
Published: (2026)

An evaluation framework for synthetic data generation models
by: Livieris, Ioannis E., et al.
Published: (2024)

An overview of diffusion models for generative artificial intelligence
by: Gallon, Davide, et al.
Published: (2024)

Batch and match: black-box variational inference with a score-based divergence
by: Cai, Diana, et al.
Published: (2024)

FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes
by: Ramos, David, et al.
Published: (2026)