Maximilian J. Werner

According to our database, Maximilian J. Werner authored at least 7 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

floatCSEP: An application to deploy and conduct reproducible prospective earthquake forecasting experiments.

Pablo Iturrieta, William Savran, Marcus Herrmann, José A. Bayona, Matthew C. Gerstenberger, Kenny Graham, Philip J. Maechling, Warner Marzocchi, Leila Mizrahi, Danijel Schorlemmer, Francesco Serafini, Fabio Silva, Maximilian J. Werner

J. Open Source Softw., February, 2026

EarthquakeNPP: A Benchmark for Earthquake Forecasting with Neural Point Processes.

Samuel Stockman, Daniel John Lawson, Maximilian J. Werner

Trans. Mach. Learn. Res., 2026

2024

SB-ETAS: using simulation based inference for scalable, likelihood-free inference for the ETAS model of earthquake occurrences.

Samuel Stockman, Daniel J. Lawson, Maximilian J. Werner

Stat. Comput., October, 2024

EarthquakeNPP: Benchmark Datasets for Earthquake Forecasting with Neural Point Processes.

Samuel Stockman, Daniel John Lawson, Maximilian J. Werner

CoRR, 2024

2023

DAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean data.

Sacha Lapins, Antony Butcher, J.-Michael Kendall, Thomas S. Hudson, Anna L. Stork, Maximilian J. Werner, Jemma Gunning, Alex M. Brisbourne

CoRR, 2023

2022

pyCSEP: A Python Toolkit For Earthquake Forecast Developers.

William Savran, Maximilian J. Werner, Danijel Schorlemmer, Philip Maechling

J. Open Source Softw., 2022

2009

Seismicity, Statistical Physics Approaches to.

Didier Sornette, Maximilian J. Werner

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009