Moor, Michael

10 publications

NeurIPS 2025 MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology Kiril Vasilev, Alexandre Misrahi, Eeshaan Jain, Phil F Cheng, Petros Liakopoulos, Olivier Michielin, Michael Moor, Charlotte Bunne

NeurIPS 2025 SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning Melanie Rieff, Maya Varma, Ossian Rabow, Subathra Adithan, Julie Kim, Ken Chang, Hannah Lee, Nidhi Rohatgi, Christian Bluethgen, Mohamed S Muneer, Jean-Benoit Delbrouck, Michael Moor

NeurIPS 2023 Zero-Shot Causal Learning Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Šurina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec

ICLR 2022 Topological Graph Neural Networks Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten Borgwardt

NeurIPSW 2020 Challenging Euclidean Topological Autoencoders Michael Moor, Max Horn, Karsten Borgwardt, Bastian Rieck

ICMLW 2020 Path Imputation Strategies for Signature Models Michael Moor, Max Horn, Christian Bock, Karsten Borgwardt, Bastian Rieck

ICML 2020 Set Functions for Time Series Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten Borgwardt

ICML 2020 Topological Autoencoders Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt

MLHC 2019 Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten Borgwardt

ICLR 2019 Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten Borgwardt