Selected Publications
Anushka Narayanan and Karianne Bergen (2024). Prototype-based Methods in Explainable AI and Emerging Opportunities in the Geosciences. International Conference on Machine Learning (ICML) 2024 AI for Science Workshop. [Open Review] [workshop]
Hilarie Sit, Brendan Keith, and Karianne Bergen (2024). Improving Explainability of Softmax Classifiers using a Prototype-based Joint Embedding Method. International Join Conference on Artificial Intelligence (IJCAI) 2024 Workshop on Explainable Artificial Intelligence (XAI). [preprint] [workshop]
Peter Van Katwyk, Baylor Fox-Kemper, Hélène Seroussi, Sophie Nowicki, and Karianne J. Bergen (2023). A variational LSTM emulator of sea level contribution from the Antarctic ice sheet. Journal of Advances of Modeling Earth Systems Vol. 15, No. 12. DOI: 10.1029/2023MS003899. [link] [preprint]
H. Wang, […], P. Van Katwyk, K. Bergen, et al. (2023). Scientific discovery in the age of artificial intelligence. Nature. DOI: 10.1038/s41586-023-06221-2. [link]
S. J. Arrowsmith, D. T. Trugman, J. MacCarthy, K. J. Bergen, D. Lumley, and M. B. Magnani (2022). Big Data Seismology. Reviews of Geophysics, Vol. 60, No. 2. DOI: 10.1029/2021RG000769. [link]
Karianne J. Bergen, Paul A. Johnson, Maarten V. de Hoop, & Gregory C. Beroza (2019). Machine learning for data-driven discovery in solid Earth geoscience. Science, Vol. 363. DOI: 10.1126/science.aau0323. [abstract] [reprint] [full text] [Translated World Seismology 2020, No.1, pp. 1-21. [link]
Karianne J. Bergen, & Gregory C. Beroza (2018). Detecting Earthquakes over a Seismic Network using Single-Station Similarity Measures. Geophysical Journal International, Vol. 213, No. 3, pp. 1984-1998. DOI: 10.1093/gji/ggy100. Winner: GJI 2018 Student Author Award [link]
Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi, Peter Bailis, Philip Levis, & Gregory C. Beroza. Locality-Sensitive Hashing for Earthquake Detection: A Case Study Scaling Data-Driven Science. Proceedings of the Very Large Data Bases (VLBD) Endowment, Vol. 11, No. 11, pp. 1674-1687. [arXiv] [link] [FAST code] [blog]
Clara E. Yoon, Ossian O’Reilly, Karianne J. Bergen, & Gregory C. Beroza (2015). Earthquake detection through computationally efficient similarity search. Science Advances, e1501057. DOI: 10.1126/sciadv.1501057. [link] [Translated World Seismology, 2017, No. 6, pp. 496-516. link] [IEEE Spectrum (Dec.9, 2015)]
Selected Abstracts
Maria Luisa Rocha Santos da Silva, Amanda Lynch, and Karianne Bergen. Enhancing CMIP6 model’s sea ice concentration with machine learning on the Northern Sea Route. Abstract C43E-06 (eLightning Presentation). AGU Fall Meeting. December 2023, San Francisco, CA.
Peter Van Katwyk, Baylor Fox-Kemper, Helene Seroussi, Sophie Nowicki, and Karianne Bergen. Variational LSTM emulators of sea level contribution from the Antarctic and Greenland ice sheets. Abstract C51D-0983 (Poster Presentation). AGU Fall Meeting. December 2023, San Francisco, CA.
Peter Van Katwyk and Karianne Bergen. Normalizing flows for density estimation and uncertainty quantification in Earth data. Poster. SAGE/GAGE Community Science Workshop, June 2022. Pittsburgh, PA.
Karianne Bergen. Explainable AI for Seismology: An interpretable convolutional neural network for earthquake detection. Oral Presentation. American Geophysical Union Fall Meeting, December 2021. Virtual.
