Veröffentlichungen

• Tomoyuki Kagaya and Thong Jing Yuan and Yuxuan Lou and Jayashree Karlekar and Sugiri Pranata and Akira Kinose and Koki Oguri and Felix Wick and Yang You: RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents,  In: NeurIPS 2024 Workshop on Open-World Agents,  2024
• Wick, Felix and Kerzel, Ulrich: Avoiding Temporal Confounding in Timeseries Forecasting Using Machine Learning,  In: Computer Sciences & Mathematics Forum,  Vol. 2,  ISSN 2813-0324,  DOI  10.3390/IOCA2021-10881,  2022
• Felix Wick and Ulrich Kerzel and Martin Hahn and Moritz Wolf and Trapti Singhal and Daniel Stemmer and Jakob Ernst and Michael Feindt: Demand Forecasting of Individual Probability Density Functions with Machine Learning,  In: Operations Research Forum,  Vol. 2,  DOI  10.1007/s43069-021-00079-8,  jul,  2021
• Wick, Felix and Kerzel, Ulrich and Feindt, Michael: Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm,  In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA),  S. 358-363,  DOI  10.1109/ICMLA.2019.00067,  2019
• Wick, F. and the CDF Collaboration: Measurement of $CP$-violation asymmetries in $D^0\ensuremath\rightarrowK_S^0\ensuremath\pi^\mathbf+\ensuremath\pi^\mathbf\ensuremath-$,  In: Phys. Rev. D,  Vol. 86,  S. 032007,  DOI  10.1103/PhysRevD.86.032007,  Aug,  2012
• Wick, F. and the CDF Collaboration: Measurements of the properties of $\ensuremath\Lambda_c(2595)$, $\ensuremath\Lambda_c(2625)$, $\ensuremath\Sigma_c(2455)$, and $\ensuremath\Sigma_c(2520)$ baryons,  In: Phys. Rev. D,  Vol. 84,  S. 012003,  DOI  10.1103/PhysRevD.84.012003,  Jul,  2011