| 2025 | CIKM | BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting. | Shiqiao Zhou, Holger Schner, Huanbo Lyu, Edouard Fouch, Shuo Wang |
| 2025 | PAKDD | The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions. | Bla H. Bhnke, Edouard Fouch, Klemens Bhm |
| 2024 | DSAA | MicroPPO: Safe Power Flow Management in Decentralized Micro-Grids with Proximal Policy Optimization. | Daniel Ebi, Edouard Fouch, Marco Heyden, Klemens Bhm |
| 2024 | KDD | Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals. | Marco Heyden, Vadim Arzamasov, Edouard Fouch, Klemens Bhm |
| 2024 | PAKDD | DEAL: Data-Efficient Active Learning for Regression Under Drift. | Bla H. Bhnke, Edouard Fouch, Klemens Bhm |
| 2023 | DIS | Multi-kernel Times Series Outlier Detection. | Florian Kalinke, Edouard Fouch, Haiko Thiessen, Klemens Bhm |
| 2022 | SSDBM | Tandem Outlier Detectors for Decentralized Data. | Marco Heyden, Jrgen Wilwer, Edouard Fouch, Steffen Thoma, Sven Matthiesen, Thomas Gwosch |
| 2020 | ICDM | Mining Text Outliers in Document Directories. | Edouard Fouch, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Bhm, Jiawei Han |
| 2019 | ADBIS | Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data. | Daniel Popovic, Edouard Fouch, Klemens Bhm |
| 2019 | KDD | Scaling Multi-Armed Bandit Algorithms. | Edouard Fouch, Junpei Komiyama, Klemens Bhm |
| 2019 | SSDBM | Monte Carlo Dependency Estimation. | Edouard Fouch, Klemens Bhm |
| 2018 | SSDBM | In-database analytics with ibmdbpy. | Edouard Fouch, Alexander Eckert, Klemens Bhm |