Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm. - Felix Wick; Ulrich Kerzel; Michael Feindt (ICMLA, 2019)

Demand Forecasting of individual Probability Density Functions with Machine Learning. - Felix Wick; Ulrich Kerzel; Martin Hahn 005; Moritz Wolf; Trapti Singhal; Michael Feindt (CoRR, 2020)

Demand Forecasting of Individual Probability Density Functions with Machine Learning. - Felix Wick; Ulrich Kerzel; Martin Hahn 005; Moritz Wolf; Trapti Singhal; Daniel Stemmer; Jakob Ernst; Michael Feindt (Oper. Res. Forum, 2021)

RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents. - Tomoyuki Kagaya; Thong Jing Yuan; Yuxuan Lou; Jayashree Karlekar; Sugiri Pranata; Akira Kinose; Koki Oguri; Felix Wick; Yang You 001 (CoRR, 2024)

EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI. - Tomoyuki Kagaya; Yuxuan Lou; Thong Jing Yuan; Subramanian Lakshmi; Jayashree Karlekar; Sugiri Pranata; Natsuki Murakami; Akira Kinose; Koki Oguri; Felix Wick; Yang You 001 (CoRR, 2024)