Gregory C. Beroza
Artificial Intelligence · 2000–2022
A researcher in the Science corpus: 21 papers; trusts 112 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it; #6,896 of 35,345 by trust here, #7,858 by citations
- Geophysics — 89 citations into it; #40 of 1,958 by trust here, #39 by citations
- Computer Vision and Pattern Recognition — 43 citations into it
- Model Architectures — 23 citations into it
- Ocean Engineering — 15 citations into it
- Signal Processing — 13 citations into it
- Natural Language Processing — 12 citations into it
- Optimization & Training — 10 citations into it
Whom Gregory C. Beroza trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zachary E. Ross
- S. M. Mousavi
- Weiqiang Zhu
- David Martin Ward Powers
- Diederik P. Kingma
- Michel Campillo
- T. Perol
- Men‐Andrin Meier
- Egill Hauksson
- Geoffrey E. Hinton
Who trusts Gregory C. Beroza overall
- S. M. Mousavi
- M. Guatteri
- Weiqiang Zhu
- P. Martin Mai
- Satoshi Ide
- B. E. Shaw
- G. Prieto
- Siwei Yu
- P. Shearer
- Katsuichiro Goda
Papers from Gregory C. Beroza's perspective
Ordered by how strongly the researchers Gregory C. Beroza trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep-learning seismology (2022) — 440 citations
- Earthquake Phase Association Using a Bayesian Gaussian Mixture Model (2021) — 144 citations
- Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking (2020) — 973 citations
- STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI (2019) — 368 citations
- Machine learning for data-driven discovery in solid Earth geoscience (2019) — 1,045 citations
- Seismic Signal Denoising and Decomposition Using Deep Neural Networks (2018) — 406 citations
- CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection (2018) — 316 citations
- PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method (2018) — 1,143 citations
- Earthquake detection through computationally efficient similarity search (2015) — 309 citations
- Shallow Dynamic Overshoot and Energetic Deep Rupture in the 2011 Mw 9.0 Tohoku-Oki Earthquake (2011) — 629 citations
- Variability in earthquake stress drop and apparent stress (2011) — 171 citations
- Anelastic Earth structure from the coherency of the ambient seismic field (2008) — 217 citations
- Non-volcanic tremor and low-frequency earthquake swarms (2007) — 926 citations
- A scaling law for slow earthquakes (2007) — 709 citations
- Low-frequency earthquakes in Shikoku, Japan, and their relationship to episodic tremor and slip (2006) — 819 citations
- A Pseudo-Dynamic Approximation to Dynamic Rupture Models for Strong Ground Motion Prediction (2004) — 151 citations
- Strong Ground-Motion Prediction from Stochastic-Dynamic Source Models (2003) — 136 citations
- Apparent break in earthquake scaling due to path and site effects on deep borehole recordings (2003) — 277 citations
- A spatial random field model to characterize complexity in earthquake slip (2002) — 622 citations
- Does apparent stress vary with earthquake size? (2001) — 470 citations