“Bridging Heavy Tails & AI” – Extremes (Springer)

We are excited to announce an invited special issue of Extremes, focusing on bridging Artificial Intelligence (AI) and Extreme Value Theory (EVT). This issue aims to unite the strengths of both fields to tackle the growing challenges of extreme events.
Extremes, published by Springer, is the world-leading journal on EVT and its applications across diverse fields.
We welcome submissions on topics such as:
  • Interfaces between regularly-varying tails and machine learning
  • Neural architectures for modeling heavy-tailed phenomena
  • Explainability of machine learning models for extremes
  • Generative models for extreme events
  • Online learning methods for extreme events
The submission deadline is March 30, 2025. Manuscripts should be submitted via Springer (SNAPP):
Further details are in the attached file, which can also be accessed here. We look forward to your contributions and the opportunity to advance the intersection of AI and EVT together!
The Guest Editors,
Miguel de Carvalho & Jordan Richards
 

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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