Raffael Theiler

According to our database, Raffael Theiler authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence.

Raffael Theiler, Ludovico Comito, David Leko, Leandro Von Krannichfeldt, Lev Telyatnikov, Olga Fink

CoRR, May, 2026

Picid: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains.

Lev Telyatnikov, Raffael Theiler, Leandro Von Krannichfeldt, Olga Fink

CoRR, May, 2026

From physics to machine learning and back: Part I - Learning with inductive biases in prognostics and health management (PHM).

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

Reliab. Eng. Syst. Saf., 2026

From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM).

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

Reliab. Eng. Syst. Saf., 2026

2025

From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM.

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

CoRR, September, 2025

Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study.

Raffael Theiler, Olga Fink

CoRR, July, 2025

2024

Integrating the Expected Future: Schedule Based Energy Forecasting.

Raffael Theiler, Olga Fink

CoRR, 2024

Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity.

Raffael Theiler, Olga Fink

CoRR, 2024