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ORCIDRaffael Theiler
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2020 – today
- 2026
[j2]Olga Fink, Vinay Sharma
, Ismail Nejjar, Leandro Von Krannichfeldt, Sergei Garmaev, Zepeng Zhang, Amaury Wei, Gaëtan Frusque, Florent Forest, Mengjie Zhao, Chi-Ching Hsu, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Raffael Theiler, Arthur Bizzi, Kevin Steiner:
From physics to machine learning and back: Part I - Learning with inductive biases in prognostics and health management (PHM). Reliab. Eng. Syst. Saf. 271: 112213 (2026)- [j1]Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao, Kevin Steiner, Yusuf Kesmen:
From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM). Reliab. Eng. Syst. Saf. 274: 112376 (2026) - [d1]Raffael Theiler, Olga Fink:
Swiss Railway Traction Network Load Forecasting Dataset with Operational Planning Context. Zenodo, 2026
- [i7]Lev Telyatnikov, Raffael Theiler, Leandro Von Krannichfeldt, Olga Fink:
Picid: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains. CoRR abs/2605.28345 (2026) - [i6]Raffael Theiler, Ludovico Comito, David Leko, Leandro Von Krannichfeldt, Lev Telyatnikov, Olga Fink:
From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence. CoRR abs/2605.28371 (2026) - [i5]Raffael Theiler, Lev Telyatnikov, Leandro Von Krannichfeldt, Olga Fink:
Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models. CoRR abs/2606.05481 (2026) - 2025
- [i4]Raffael Theiler, Olga Fink:
Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study. CoRR abs/2507.06694 (2025) - [i3]Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao:
From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM. CoRR abs/2509.21207 (2025) - 2024
- [i2]Raffael Theiler, Olga Fink:
Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity. CoRR abs/2404.03368 (2024) - [i1]Raffael Theiler, Olga Fink:
Integrating the Expected Future: Schedule Based Energy Forecasting. CoRR abs/2409.05884 (2024)
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