Sam Stockman
University of Bristol
PhD Student
About Me
Publications
Tian, W., Stockman, S., Zhang, Y., & Werner, M. J. (2025). Can Domain-Informed Design Improve Neural Spatio-Temporal Point Processes for Earthquake Forecasting?. Earth's Future, (in preparation). SCEC Contribution 14977
Werner, M. J., Stockman, S., Tian, W., & Zhang, Y. (2025, 09). Benchmarking and Adapting Neural Point Processes for Operational Earthquake Forecasting in California and China. Poster Presentation at 2025 SCEC Annual Meeting. SCEC Contribution 14827
Serafini, F., Bayona, J. A., Silva, F., Savran, W. H., Stockman, S., Maechling, P. J., & Werner, M. J. (2025). A benchmark database of ten years of prospective next-day earthquake forecasts in California from the Collaboratory for the Study of Earthquake Predictability. Scientific Data, 12(1). https://doi.org/10.1038/s41597-025-05766-3. SCEC Contribution 14154
Stockman, S., Lawson, D., & Werner, M. J. (2024, 09). EarthquakeNPP: Benchmark Datasets for Earthquake Forecasting with Neural Point Processes. Poster Presentation at 2024 SCEC Annual Meeting. SCEC Contribution 14060
Stockman, S., Lawson, D., & Werner, M. J. (2022, 09). Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Marked Point Process. Poster Presentation at 2022 SCEC Annual Meeting. SCEC Contribution 11932
Last updated Sep 18, 2025.
