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Souhaib Ben Taieb

Karlsruhe Institute of Technology (from arXiv:2511.13608, 2025) · ORCID · OpenAlex

15 papers in scope · 14 published · 1 on the econ.EM arXiv · 2,490 citations · h-index 10 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Florian Ziel
  2. Matteo Fontana
  3. Simone Vantini
  4. Rafał Weron
  5. Niccolò Ajroldi
  6. Jacopo Diquigiovanni
  7. Paul Ghelasi
  8. Fotios Petropoulos
  9. Feng Li
  10. Alisa Yusupova
  11. Bartosz Uniejewski
  12. Gianluca Zeni
  13. João L. Assunção
  14. Pedro Afonso Fernandes
  15. W. Małgorzewicz
  16. Markus Stocker
  17. Li Li
  18. Yanfei Kang
  19. Gael M. Martin
  20. David T. Frazier

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(2 of 15)

working paper2025 · arXiv
Distribution-free conformal joint prediction regions for neural marked temporal point processes
published2024 · Machine Learning · 5 citations
with Victor Dheur, Tanguy Bosser, Rafael Izbicki
Scores for Multivariate Distributions and Level Sets
published2023 · Operations Research · 5 citations · first circulated 2020
with Xiaochun Meng, James W. Taylor, Siran Li, Xiao-chun Meng
published2022 · International Journal of Forecasting · 843 citations
with Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, M. Zied Babaï, Devon K. Barrow, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, …
Commentary on “Transparent modelling of influenza incidence”: On big data models for infectious disease forecasting
published2021 · International Journal of Forecasting · 3 citations
with Kathryn Taylor
Non‐linear mixed‐effects models for time series forecasting of smart meter demand
published2020 · Journal of Forecasting · 10 citations
with Cameron Roach, Rob J. Hyndman
Online forecast reconciliation in wind power prediction
published2020 · Electric Power Systems Research · 11 citations
with Chiara Di Modica, Pierre Pinson
Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data
published2020 · Journal of the American Statistical Association · 131 citations
with James W. Taylor, Rob J. Hyndman
Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data
published2017 · Proceedings of the AAAI Conference on Artificial Intelligence · 26 citations
with Jiafan Yu, Mateus Barreto, Ram Rajagopal
Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression
published2016 · IEEE Transactions on Smart Grid · 181 citations
with Raphaël Huser, Rob J. Hyndman, Marc G. Genton
A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting
published2015 · IEEE Transactions on Neural Networks and Learning Systems · 186 citations
with Amir F. Atiya
A gradient boosting approach to the Kaggle load forecasting competition
published2013 · International Journal of Forecasting · 291 citations
with Rob J. Hyndman
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
published2012 · Expert Systems with Applications · 695 citations · first circulated 2011
with Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa
Adaptive local learning techniques for multiple-step-ahead wind speed forecasting
published2011 · Electric Power Systems Research · 22 citations
with Alfredo Vaccaro, Gianluca Bontempi, D. Villacci
Conditionally dependent strategies for multiple-step-ahead prediction in local learning
published2011 · International Journal of Forecasting · 81 citations
with Gianluca Bontempi

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.