Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling
Fuente:
arXiv
Saved in:
| Main Authors: | Nair, Sujay, Coleman, Evan, Wang, Sherrie, Olivetti, Elsa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dual Random Fields and their Application to Mineral Potential Mapping
by: Riquelme, Álvaro I.
Published: (2024)
by: Riquelme, Álvaro I.
Published: (2024)
Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
Variational phylogenetic inference with products over bipartitions
by: Sidrow, Evan, et al.
Published: (2025)
by: Sidrow, Evan, et al.
Published: (2025)
A Latent Variable Framework for Scaling Laws in Large Language Models
by: Cai, Peiyao, et al.
Published: (2025)
by: Cai, Peiyao, et al.
Published: (2025)
Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation
by: Rosenman, Evan, et al.
Published: (2019)
by: Rosenman, Evan, et al.
Published: (2019)
GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping
by: Daruna, Angel, et al.
Published: (2024)
by: Daruna, Angel, et al.
Published: (2024)
Multi-scale Masked Autoencoder for Electrocardiogram Anomaly Detection
by: Zhou, Ya, et al.
Published: (2025)
by: Zhou, Ya, et al.
Published: (2025)
Modeling Discrete Coating Degradation Events via Hawkes Processes
by: Repasky, Matthew, et al.
Published: (2025)
by: Repasky, Matthew, et al.
Published: (2025)
Comprehensive Benchmarking of Machine Learning Methods for Risk Prediction Modelling from Large-Scale Survival Data: A UK Biobank Study
by: Oexner, Rafael R., et al.
Published: (2025)
by: Oexner, Rafael R., et al.
Published: (2025)
Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach
by: Hashtarkhani, Soheil, et al.
Published: (2025)
by: Hashtarkhani, Soheil, et al.
Published: (2025)
Modeling Psychological Profiles in Volleyball via Mixed-Type Bayesian Networks
by: Iannario, Maria, et al.
Published: (2025)
by: Iannario, Maria, et al.
Published: (2025)
Probabilistic Wind Power Modelling via Heteroscedastic Non-Stationary Gaussian Processes
by: Ladopoulou, Domniki, et al.
Published: (2025)
by: Ladopoulou, Domniki, et al.
Published: (2025)
Valuing an Engagement Surface using a Large Scale Dynamic Causal Model
by: Mukerji, Abhimanyu, et al.
Published: (2024)
by: Mukerji, Abhimanyu, et al.
Published: (2024)
Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches
by: Groll, Andreas, et al.
Published: (2024)
by: Groll, Andreas, et al.
Published: (2024)
Uncertainty-Aware Sparse Identification of Dynamical Systems via Bayesian Model Averaging
by: Kashiwamura, Shuhei, et al.
Published: (2026)
by: Kashiwamura, Shuhei, et al.
Published: (2026)
Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models
by: Montreuil, Yannis, et al.
Published: (2026)
by: Montreuil, Yannis, et al.
Published: (2026)
AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale
by: Estopinan, Joaquim, et al.
Published: (2024)
by: Estopinan, Joaquim, et al.
Published: (2024)
Nested Atoms Model with Application to Clustering Big Population-Scale Single-Cell Data
by: Chakrabarti, Arhit, et al.
Published: (2026)
by: Chakrabarti, Arhit, et al.
Published: (2026)
Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models
by: Tong, Ran, et al.
Published: (2025)
by: Tong, Ran, et al.
Published: (2025)
Digital twin for virtual sensing of ferry quays via a Gaussian Process Latent Force Model
by: Sibille, Luigi, et al.
Published: (2025)
by: Sibille, Luigi, et al.
Published: (2025)
Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering
by: Valleggi, Lorenzo, et al.
Published: (2023)
by: Valleggi, Lorenzo, et al.
Published: (2023)
Probabilistic Digital Twin for Misspecified Structural Dynamical Systems via Latent Force Modeling and Bayesian Neural Networks
by: Kashyap, Sahil, et al.
Published: (2025)
by: Kashyap, Sahil, et al.
Published: (2025)
Flusion: Integrating multiple data sources for accurate influenza predictions
by: Ray, Evan L., et al.
Published: (2024)
by: Ray, Evan L., et al.
Published: (2024)
Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
by: Kosko, Matthew, et al.
Published: (2026)
by: Kosko, Matthew, et al.
Published: (2026)
Inference for Large Scale Regression Models with Dependent Errors
by: Voirol, Lionel, et al.
Published: (2024)
by: Voirol, Lionel, et al.
Published: (2024)
The Weather Paradox: Why Precipitation Fails to Predict Traffic Accident Severity in Large-Scale US Data
by: Bellec, Yann, et al.
Published: (2026)
by: Bellec, Yann, et al.
Published: (2026)
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals
by: Su, Yuqi, et al.
Published: (2024)
by: Su, Yuqi, et al.
Published: (2024)
DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
by: Ye, Feng, et al.
Published: (2024)
by: Ye, Feng, et al.
Published: (2024)
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data
by: Tonks, Adam, et al.
Published: (2022)
by: Tonks, Adam, et al.
Published: (2022)
Efficient Prediction of Pass@k Scaling in Large Language Models
by: Kazdan, Joshua, et al.
Published: (2025)
by: Kazdan, Joshua, et al.
Published: (2025)
Dispersion based Recurrent Neural Network Model for Methane Monitoring in Albertan Tailings Ponds
by: Saha, Esha, et al.
Published: (2024)
by: Saha, Esha, et al.
Published: (2024)
Multi-output Extreme Spatial Model for Complex Aircraft Production Systems
by: Lee, Cheolhei, et al.
Published: (2026)
by: Lee, Cheolhei, et al.
Published: (2026)
Masked Transformer for Electrocardiogram Classification
by: Zhou, Ya, et al.
Published: (2023)
by: Zhou, Ya, et al.
Published: (2023)
Neural Network-based Partial-Linear Single-Index Models for Environmental Mixtures Analysis
by: Do, Hyungrok, et al.
Published: (2025)
by: Do, Hyungrok, et al.
Published: (2025)
Efficient Generative Modeling via Penalized Optimal Transport Network
by: Lu, Wenhui Sophia, et al.
Published: (2024)
by: Lu, Wenhui Sophia, et al.
Published: (2024)
Multi-task Modeling for Engineering Applications with Sparse Data
by: Comlek, Yigitcan, et al.
Published: (2026)
by: Comlek, Yigitcan, et al.
Published: (2026)
Multi-View Symbolic Regression
by: Russeil, Etienne, et al.
Published: (2024)
by: Russeil, Etienne, et al.
Published: (2024)
Classification errors distort findings in automated speech processing: examples and solutions from child-development research
by: Gautheron, Lucas, et al.
Published: (2025)
by: Gautheron, Lucas, et al.
Published: (2025)
Manifold Dimension Estimation via Local Graph Structure
by: Bi, Zelong, et al.
Published: (2025)
by: Bi, Zelong, et al.
Published: (2025)
Cost-sensitive retraining via posterior learning debt
by: Katz, Harrison
Published: (2026)
by: Katz, Harrison
Published: (2026)
Similar Items
-
Dual Random Fields and their Application to Mineral Potential Mapping
by: Riquelme, Álvaro I.
Published: (2024) -
Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026) -
Variational phylogenetic inference with products over bipartitions
by: Sidrow, Evan, et al.
Published: (2025) -
A Latent Variable Framework for Scaling Laws in Large Language Models
by: Cai, Peiyao, et al.
Published: (2025) -
Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation
by: Rosenman, Evan, et al.
Published: (2019)