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PhaseLink: A Deep Learning Approach to Seismic Phase Association
v1v2 (latest)

PhaseLink: A Deep Learning Approach to Seismic Phase Association

8 September 2018
Zachary E. Ross
Yisong Yue
Men‐Andrin Meier
E. Hauksson
T. Heaton
ArXiv (abs)PDFHTML

Papers citing "PhaseLink: A Deep Learning Approach to Seismic Phase Association"

16 / 16 papers shown
Double Difference Earthquake Location with Graph Neural Networks
Double Difference Earthquake Location with Graph Neural Networks
I. McBrearty
G. Beroza
87
2
0
25 Oct 2024
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
Alireza Koochali
Ensiye Tahaei
Andreas Dengel
Sheraz Ahmed
AI4TS
164
6
0
07 May 2024
Generalized Neural Networks for Real-Time Earthquake Early Warning
Generalized Neural Networks for Real-Time Earthquake Early Warning
Xiong Zhang
Miao Zhang
AI4CE
86
5
0
23 Dec 2023
SeisCLIP: A seismology foundation model pre-trained by multi-modal data
  for multi-purpose seismic feature extraction
SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extractionIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Xu Si
Xinming Wu
Hanlin Sheng
Jun Zhu
Zefeng Li
202
22
0
05 Sep 2023
High-Rate Phase Association with Travel Time Neural Fields
High-Rate Phase Association with Travel Time Neural Fields
Chengzhi Shi
Maarten V. de Hoop
Ivan Dokmanić
239
1
0
14 Jul 2023
Multi-task multi-station earthquake monitoring: An all-in-one seismic
  Phase picking, Location, and Association Network (PLAN)
Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN)
Xu Si
Xinming Wu
Zefeng Li
Sheng Wang
Jun Zhu
112
3
0
24 Jun 2023
Earthquake Phase Association with Graph Neural Networks
Earthquake Phase Association with Graph Neural NetworksBulletin of The Seismological Society of America (BSSA) (BSSA), 2022
I. McBrearty
G. Beroza
99
56
0
15 Sep 2022
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A
  Case Study on CRPS-Sum Discrimination Ability
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination AbilityApplied Sciences (Appl. Sci.), 2022
Alireza Koochali
P. Schichtel
Andreas Dengel
Sheraz Ahmed
145
12
0
21 Jan 2022
Deep Learning-based Damage Mapping with InSAR Coherence Time Series
Deep Learning-based Damage Mapping with InSAR Coherence Time SeriesIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
Oliver L. Stephenson
Tobias Köhne
Eric Zhan
Brent E. Cahill
S. Yun
Zachary E. Ross
M. Simons
161
31
0
24 May 2021
Data-driven geophysics: from dictionary learning to deep learning
Data-driven geophysics: from dictionary learning to deep learning
Siwei Yu
Jianwei Ma
AI4CE
174
9
0
13 Jul 2020
Real-time Earthquake Early Warning with Deep Learning: Application to
  the 2016 Central Apennines, Italy Earthquake Sequence
Real-time Earthquake Early Warning with Deep Learning: Application to the 2016 Central Apennines, Italy Earthquake SequenceGeophysical Research Letters (GRL), 2020
Xiong Zhang
Miao Zhang
X. Tian
AI4Cl
99
53
0
02 Jun 2020
Extracting dispersion curves from ambient noise correlations using deep
  learning
Extracting dispersion curves from ambient noise correlations using deep learningIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020
Xiaotian Zhang
Zheshu Jia
Zachary E. Ross
R. Clayton
71
30
0
05 Feb 2020
Bayesian-Deep-Learning Estimation of Earthquake Location from
  Single-Station Observations
Bayesian-Deep-Learning Estimation of Earthquake Location from Single-Station ObservationsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
S. Mousavi
G. Beroza
BDL
96
121
0
03 Dec 2019
Neural Network Applications in Earthquake Prediction (1994-2019):
  Meta-Analytic Insight on their Limitations
Neural Network Applications in Earthquake Prediction (1994-2019): Meta-Analytic Insight on their Limitations
A. Mignan
M. Broccardo
AI4CE
62
1
0
02 Oct 2019
Probabilistic Forecasting of Sensory Data with Generative Adversarial
  Networks - ForGAN
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN
Alireza Koochali
P. Schichtel
Sheraz Ahmed
Andreas Dengel
AI4TS
130
78
0
29 Mar 2019
A multi-channel approach for automatic microseismic event association
  using RANSAC-based arrival time event clustering(RATEC)
A multi-channel approach for automatic microseismic event association using RANSAC-based arrival time event clustering(RATEC)Earthquake Research Advances (ERA), 2017
Lijun Zhu
L. Chuang
J. McClellan
E. Liu
Zhigang Peng
169
15
0
07 Feb 2017
1