Scholar
Christoph Bergmeir
Google Scholar ID: _UG_SgUAAAAJ
University of Granada
Citations & Impact
Citations
10,372
H-index
36
i10-index
76
Publications
20
Co-authors
26
list available
Publications
Cited
2
Resume (English only)
Academic Achievements
- Publications:
- - Time series adversarial attacks: an investigation of smooth perturbations and defense approaches
- - Scalable probabilistic forecasting in retail with gradient boosted trees: A practitioner's approach
- - Predict+ Optimize Problem in Renewable Energy Scheduling
- - On forecast stability
- - MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
- Invited Talks:
- - December 20, 2024, NeurIPS 2024 workshop 'Time Series in the Age of Large Models'
- - December 15, 2024, 'Fundamental limitations of foundational forecasting models: The need for multimodality and rigorous evaluation'
- - September 19, 2023, 'SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting'
- - September 6, 2023, 'Short open problem talk: Hierarchical summary forecasting'
Research Experience
- May 2023 - Present, María Zambrano (Senior) Fellow at the University of Granada, focusing on time series forecasting research; Also holds an appointment as an Adjunct Senior Research Fellow at Monash University.
Education
- Ph.D. in Computer Science and Information Technology, 2013, University of Granada, Spain; Master in Soft Computing and Intelligent Systems, 2009, University of Granada, Spain; Dipl.-Inf. (equivalent to M.Sc.) in Computer Science, 2008, University of Ulm, Germany.
Background
- Research Interests: Time series forecasting, machine learning methods. Professional Field: Computer Science and Artificial Intelligence. Brief Introduction: Currently a María Zambrano (Senior) Fellow in the Department of Computer Science and Artificial Intelligence at the University of Granada, Spain, and an Adjunct Senior Research Fellow in the Department of Data Science and Artificial Intelligence at Monash University, Australia.
Miscellany
- Personal interests and other information not provided
