Image de couverture de livre

Do Masked Autoencoders Improve Downhole Prediction? An Empirical Study on Real Well Drilling Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Berezowski, Aleksander, Hassanzadeh, Hassan, Ginde, Gouri
Format:	Preprint
Publié:	2026
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

Assessing the Potential of Masked Autoencoder Foundation Models in Predicting Downhole Metrics from Surface Drilling Data
par: Berezowski, Aleksander, et autres
Publié: (2026)

Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation
par: Acharya, Jagrit, et autres
Publié: (2025)

"So what if I used GenAI?" -- Implications of Using Cloud-based GenAI in Software Engineering Research
par: Ginde, Gouri
Publié: (2024)

To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
par: Kim, Jungkyu, et autres
Publié: (2024)

Automatic Classification of User Requirements from Online Feedback -- A Replication Study
par: Bhatt, Meet, et autres
Publié: (2025)

A physics-guided neural network for flooding area detection using SAR imagery and local river gauge observations
par: Gierszewska, Monika, et autres
Publié: (2024)

Improving Robustness In Sparse Autoencoders via Masked Regularization
par: Narayanaswamy, Vivek, et autres
Publié: (2026)

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
par: Liu, Chuang, et autres
Publié: (2024)

Masked Autoencoders are PDE Learners
par: Zhou, Anthony, et autres
Publié: (2024)

End-to-End Autoencoder for Drill String Acoustic Communications
par: Lezhenin, Iurii, et autres
Publié: (2024)

Exploring Ethical Concerns of Mobile Applications from App Reviews: A Literature Survey
par: Sorathiya, Aakash, et autres
Publié: (2026)

Towards Extracting Ethical Concerns-related Software Requirements from App Reviews
par: Sorathiya, Aakash, et autres
Publié: (2024)

BugsRepo: A Comprehensive Curated Dataset of Bug Reports, Comments and Contributors Information from Bugzilla
par: Acharya, Jagrit, et autres
Publié: (2025)

Beyond Keywords: A Context-based Hybrid Approach to Mining Ethical Concern-related App Reviews
par: Sorathiya, Aakash, et autres
Publié: (2024)

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews
par: Sorathiya, Aakash, et autres
Publié: (2025)

Ethical software requirements from user reviews: A systematic literature review
par: Sorathiya, Aakash, et autres
Publié: (2024)

SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps
par: Sorathiya, Aakash, et autres
Publié: (2025)

Towards Extracting Software Requirements from App Reviews using Seq2seq Framework
par: Sorathiya, Aakash, et autres
Publié: (2025)

Learning Representations from Incomplete EHR Data with Dual-Masked Autoencoding
par: Xiang, Xiao, et autres
Publié: (2026)

Rotary Masked Autoencoders are Versatile Learners
par: Zivanovic, Uros, et autres
Publié: (2025)

What Software Engineering Looks Like to AI Agents? -- An Empirical Study of AI-Only Technical Discourse on MoltBook
par: Huo, Junyu, et autres
Publié: (2026)

DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs
par: Arifeen, Murshedul, et autres
Publié: (2024)

Masked Autoencoders as Universal Speech Enhancer
par: Rajagopalan, Rajalaxmi, et autres
Publié: (2026)

Hi-GMAE: Hierarchical Graph Masked Autoencoders
par: Liu, Chuang, et autres
Publié: (2024)

Graph Generative Models Evaluation with Masked Autoencoder
par: Wang, Chengen, et autres
Publié: (2025)

Masked Autoencoders are Efficient Continual Federated Learners
par: Paul, Subarnaduti, et autres
Publié: (2023)

Do Sparse Autoencoders Generalize? A Case Study of Answerability
par: Heindrich, Lovis, et autres
Publié: (2025)

DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches
par: Faysal, Atik, et autres
Publié: (2025)

Rethinking Graph Masked Autoencoders through Alignment and Uniformity
par: Wang, Liang, et autres
Publié: (2024)

Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data
par: Fang, Donghai, et autres
Publié: (2024)

Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
par: Anyfantis, Georgios, et autres
Publié: (2026)

Data Whitening Improves Sparse Autoencoder Learning
par: Saraswatula, Ashwin, et autres
Publié: (2025)

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study
par: Liu, Wuao, et autres
Publié: (2026)

Revealing the Power of Masked Autoencoders in Traffic Forecasting
par: Sun, Jiarui, et autres
Publié: (2023)

MAX: Masked Autoencoder for X-ray Fluorescence in Geological Investigation
par: Lee, An-Sheng, et autres
Publié: (2024)

Masked BRep Autoencoder via Hierarchical Graph Transformer
par: Li, Yifei, et autres
Publié: (2026)

Robust Representation Learning in Masked Autoencoders
par: Shrivastava, Anika, et autres
Publié: (2026)

Quantum Masked Autoencoders for Vision Learning
par: Andrews, Emma, et autres
Publié: (2025)

An Empirical Study on Improving SimCLR's Nonlinear Projection Head using Pretrained Autoencoder Embeddings
par: Schliebitz, Andreas, et autres
Publié: (2024)

Masked Graph Autoencoder with Non-discrete Bandwidths
par: Zhao, Ziwen, et autres
Publié: (2024)