Saved in:
| Main Authors: | Köhler, Jonas, Li, Wei, Faber, Johannes, Rümpker, Georg, Srivastava, Nishtha |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.12408 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Probabilistic and Alarm-Based Evaluation of a b-Value-Driven Deep Learning Earthquake Forecast
by: Köhler, Jonas, et al.
Published: (2026)
by: Köhler, Jonas, et al.
Published: (2026)
An Interpretable Physics Informed Multi-Stream Deep Learning Architecture for the Discrimination between Earthquake, Quarry Blast and Noise
by: Srivastava, Nishtha, et al.
Published: (2026)
by: Srivastava, Nishtha, et al.
Published: (2026)
A Deep Learning Pipeline for Large Earthquake Analysis using High-Rate Global Navigation Satellite System Data
by: Quinteros-Cartaya, Claudia, et al.
Published: (2025)
by: Quinteros-Cartaya, Claudia, et al.
Published: (2025)
High Magnitude Earthquake Identification Using an Anomaly Detection Approach on HR GNSS Data
by: Arenas, Javier Quintero, et al.
Published: (2024)
by: Arenas, Javier Quintero, et al.
Published: (2024)
Neural Earthquake Forecasting with Minimal Information: Limits, Interpretability, and the Role of Markov Structure
by: Koehler, Jonas, et al.
Published: (2025)
by: Koehler, Jonas, et al.
Published: (2025)
Evaluating the SAIPy Performance using a Local Seismic Network for Volcano-Tectonic Earthquakes Monitoring
by: Quinteros-Cartaya, Claudia, et al.
Published: (2026)
by: Quinteros-Cartaya, Claudia, et al.
Published: (2026)
Deep Reparameterization for Full Waveform Inversion: Architecture Benchmarking, Robust Inversion, and Multiphysics Extension
by: Liu, Feng, et al.
Published: (2025)
by: Liu, Feng, et al.
Published: (2025)
Operator Learning for Consolidation: An Architectural Comparison for DeepONet Variants
by: Choi, Yongjin, et al.
Published: (2025)
by: Choi, Yongjin, et al.
Published: (2025)
Hybrid Transferable Deep Reinforcement Learning and Transformer Architecture for Enhanced Lithology Identification From Well‐Logging Data
by: Youzhuang Sun, et al.
Published: (2025)
by: Youzhuang Sun, et al.
Published: (2025)
Integrating b-Value and Background Seismicity Rate for Spatial Earthquake Forecasting in the Alborz Region, Northern Iran
by: Mousavi, Muhammed Hossein, et al.
Published: (2026)
by: Mousavi, Muhammed Hossein, et al.
Published: (2026)
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting
by: Jafari, Alireza, et al.
Published: (2024)
by: Jafari, Alireza, et al.
Published: (2024)
A Glitch Detection and Removal Method for Three‐Component Seismic Data From Mars Based On Deep Learning
by: Jiangjie Zhang, et al.
Published: (2025)
by: Jiangjie Zhang, et al.
Published: (2025)
Earthquake Source Depth Determination using Single Station Waveforms and Deep Learning
by: Li, Wenda, et al.
Published: (2025)
by: Li, Wenda, et al.
Published: (2025)
Diffusion Models Bridge Deep Learning and Physics in ENSO Forecasting
by: Xu, Weifeng, et al.
Published: (2025)
by: Xu, Weifeng, et al.
Published: (2025)
Seismic Fault Detection Using Dual‐Attention Multi‐Scale Fusion Networks With Deep Supervision
by: Yang Li, et al.
Published: (2025)
by: Yang Li, et al.
Published: (2025)
RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing
by: Fernandez-Carabantes, Javier, et al.
Published: (2025)
by: Fernandez-Carabantes, Javier, et al.
Published: (2025)
Potentials and Challenges of Cryoseismology with Fiber Optic Sensing in the High Arctic: A pilot experiment in Hornsund, Svalbard
by: Gajek, Wojciech, et al.
Published: (2026)
by: Gajek, Wojciech, et al.
Published: (2026)
Ensemble Deep Learning for enhanced seismic data reconstruction
by: Abedi, Mohammad Mahdi, et al.
Published: (2024)
by: Abedi, Mohammad Mahdi, et al.
Published: (2024)
Towards End-to-End Earthquake Monitoring Using a Multitask Deep Learning Model
by: Zhu, Weiqiang, et al.
Published: (2025)
by: Zhu, Weiqiang, et al.
Published: (2025)
Progressive Layer Stripping Analysis for HVSR Interpretation
by: Fathizadeh, Mersad, et al.
Published: (2025)
by: Fathizadeh, Mersad, et al.
Published: (2025)
Modeling the Asymptotic Behavior of Higher-Order Aftershocks with Deep Learning
by: Mizrahi, Leila, et al.
Published: (2024)
by: Mizrahi, Leila, et al.
Published: (2024)
Deep learning velocity filtering for seismic data
by: Li, Xiaobin, et al.
Published: (2025)
by: Li, Xiaobin, et al.
Published: (2025)
Global Chlorophyll-\textit{a} Retrieval algorithm from Sentinel 2 Using Residual Deep Learning and Novel Machine Learning Water Classification
by: Sherf, Yotam, et al.
Published: (2025)
by: Sherf, Yotam, et al.
Published: (2025)
On acoustic space-time media that compute their own inverse
by: van Manen, Dirk-Jan, et al.
Published: (2024)
by: van Manen, Dirk-Jan, et al.
Published: (2024)
Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures
by: Zerafa, Christopher
Published: (2025)
by: Zerafa, Christopher
Published: (2025)
A Deep Learning-based time shift objective function for Full Waveform Inversion
by: Alfarhan, Mustafa, et al.
Published: (2025)
by: Alfarhan, Mustafa, et al.
Published: (2025)
A Deep-Learning-Driven Optimization-Based Inverse Solver for Accelerating the Marchenko Method
by: Wang, Ning, et al.
Published: (2025)
by: Wang, Ning, et al.
Published: (2025)
On the coupled geometrical-mechanical origin of the earthquake b-value in fault networks
by: Pan, Wenbo, et al.
Published: (2026)
by: Pan, Wenbo, et al.
Published: (2026)
Initial Model Incorporation for Deep Learning FWI: Pretraining or Denormalization?
by: Chen, Ruihua, et al.
Published: (2025)
by: Chen, Ruihua, et al.
Published: (2025)
Towards Long-Range ENSO Prediction with an Explainable Deep Learning Model
by: Chen, Qi, et al.
Published: (2025)
by: Chen, Qi, et al.
Published: (2025)
Deep Learning-Based 3D Seismic Velocity Inversion Under Dual-Domain Sparse Representation
by: Chen, Guoxin, et al.
Published: (2026)
by: Chen, Guoxin, et al.
Published: (2026)
Detecting Urban Earthquakes with the San Fernando Valley Nodal Array and Machine Learning
by: Omojola, Joses, et al.
Published: (2025)
by: Omojola, Joses, et al.
Published: (2025)
Singular Value Decomposition for Single-Phase Flow and Cluster Identification in Heterogeneous Pore Networks
by: Ben-Noah, Ilan, et al.
Published: (2024)
by: Ben-Noah, Ilan, et al.
Published: (2024)
Predictor-Driven Diffusion for Spatiotemporal Generation
by: Yasuda, Yuki, et al.
Published: (2026)
by: Yasuda, Yuki, et al.
Published: (2026)
A Deep-Learning-Based Framework for Focal Mechanism Determination and Its Application to the 2022 Luding Earthquake Sequence
by: Yu, Ziye, et al.
Published: (2025)
by: Yu, Ziye, et al.
Published: (2025)
A Deep Learning Approach for Transient Electromagnetic Data Denoising, Inversion and Uncertainty Analysis With Monte Carlo Dropout Technique
by: Yinjia Zhu, et al.
Published: (2025)
by: Yinjia Zhu, et al.
Published: (2025)
Signal Enhancement in Distributed Acoustic Sensing Data Using a Guided Unsupervised Deep Learning Network
by: Saad, Omar M., et al.
Published: (2024)
by: Saad, Omar M., et al.
Published: (2024)
Accurate Seismic Data Interpolation With Multi‐Band‐Assisted Deep Learning
by: Xueyi Sun, et al.
Published: (2025)
by: Xueyi Sun, et al.
Published: (2025)
RECOVAR: Representation Covariances on Deep Latent Spaces for Seismic Event Detection
by: Efe, Onur, et al.
Published: (2024)
by: Efe, Onur, et al.
Published: (2024)
4D Seismic Inversion to Changes in Pressure and Saturation Using Deep Learning
by: Chean Lin Lew, et al.
Published: (2026)
by: Chean Lin Lew, et al.
Published: (2026)
Similar Items
-
Probabilistic and Alarm-Based Evaluation of a b-Value-Driven Deep Learning Earthquake Forecast
by: Köhler, Jonas, et al.
Published: (2026) -
An Interpretable Physics Informed Multi-Stream Deep Learning Architecture for the Discrimination between Earthquake, Quarry Blast and Noise
by: Srivastava, Nishtha, et al.
Published: (2026) -
A Deep Learning Pipeline for Large Earthquake Analysis using High-Rate Global Navigation Satellite System Data
by: Quinteros-Cartaya, Claudia, et al.
Published: (2025) -
High Magnitude Earthquake Identification Using an Anomaly Detection Approach on HR GNSS Data
by: Arenas, Javier Quintero, et al.
Published: (2024) -
Neural Earthquake Forecasting with Minimal Information: Limits, Interpretability, and the Role of Markov Structure
by: Koehler, Jonas, et al.
Published: (2025)