Publications

Alexandra Baier, Decky Aspandi, and Steffen Staab. Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"". DaRUS, 2023. [PUMA: myown simtech deeplearning pn4 from:alexbaier EXC2075 exc2075] URL

Alexandra Baier, and Daniel Frank. deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning. DaRUS, 2023. [PUMA: myown simtech deeplearning pn4 from:alexbaier EXC2075 exc2075] URL

Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, and Carl Yang. HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023, 2023. [PUMA: from:boxiong myown simtech ac-knowgraphs] URL

Alexandra Baier, and Steffen Staab. A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. 2022. [PUMA: myown simtech deeplearning pn4 from:alexbaier machinelearning EXC2075 exc2075]

Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, and Steffen Staab. Pseudo-Riemannian Graph Convolutional Networks. Advances in Neural Information Processing Systems, 2022. [PUMA: ac-coffee from:boxiong myown simtech ac-knowgraphs] URL