Energy-balancing passivity-based control through reinforcement learning - Olivier Sprangers; Gabriel A. D. Lopes; Robert Babuska (CoRR, 2012)

Reinforcement Learning for Port-Hamiltonian Systems. - Olivier Sprangers; Robert Babuska; Subramanya Nageshrao; Gabriel A. D. Lopes (IEEE Trans. Cybern., 2015)

Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. - Olivier Sprangers; Sebastian Schelter; Maarten de Rijke (KDD, 2021)

Parameter Efficient Deep Probabilistic Forecasting. - Olivier Sprangers; Sebastian Schelter; Maarten de Rijke (CoRR, 2021)

Screening Native Machine Learning Pipelines with ArgusEyes. - Sebastian Schelter; Stefan Grafberger; Shubha Guha; Olivier Sprangers; Bojan Karlas; Ce Zhang 001 (CIDR, 2022)

Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale. - Barrie Kersbergen; Olivier Sprangers; Sebastian Schelter (SIGMOD Conference, 2022)

schelterlabs/arguseyes. - Sebastian Schelter; Stefan Grafberger; Shubha Guha; Olivier Sprangers; Bojan Karlas; Ce Zhang 001 (Zenodo, 2022)

Hierarchical Forecasting at Scale. - Olivier Sprangers; Wander Wadman; Sebastian Schelter; Maarten de Rijke (CoRR, 2023)

Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale. - Barrie Kersbergen; Olivier Sprangers; Frank Kootte; Shubha Guha; Maarten de Rijke; Sebastian Schelter (ICDE, 2024)

Domain Generalization in Time Series Forecasting. - Songgaojun Deng; Olivier Sprangers; Ming Li 068; Sebastian Schelter; Maarten de Rijke (ACM Trans. Knowl. Discov. Data, 2024)