Michael Moor

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Directional Relations

Pearson Correlation

Dynamic Time Warping

Topology Preservation

Top Venues

Publications

Jialiang Xu, Michael Moor, Jure Leskovec
Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs. CoRR (2024)
Samuel Schmidgall, Rojin Ziaei, Carl Harris, Eduardo Pontes Reis, Jeffrey Jopling, Michael Moor
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments. CoRR (2024)
Cyril Zakka, Joseph Cho, Gracia Fahed, Rohan Shad, Michael Moor, Robyn Fong, Dhamanpreet Kaur, Vishnu Ravi, Oliver Aalami, Roxana Daneshjou, Akshay Chaudhari, William Hiesinger
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation. CoRR (2024)
Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
Zero-shot causal learning. NeurIPS (2023)
Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe P. O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. CoRR (2023)
Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. EMNLP (Findings) (2023)
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec
Med-Flamingo: a Multimodal Medical Few-shot Learner. CoRR (2023)
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, Pranav Rajpurkar
Med-Flamingo: a Multimodal Medical Few-shot Learner. ML4H@NeurIPS (2023)
Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
Zero-shot causal learning. CoRR (2023)
Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
Topological Graph Neural Networks. ICLR (2022)
Felix Hensel, Michael Moor, Bastian Rieck
A Survey of Topological Machine Learning Methods. Frontiers Artif. Intell. 4 (2021)
Michael Moor, Nicolas Bennett, Drago Plecko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten M. Borgwardt
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. CoRR (2021)
Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
Topological Graph Neural Networks. CoRR (2021)
Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt
Topological Autoencoders. ICML (2020)
Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt
Set Functions for Time Series. ICML (2020)
Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR (2020)
Michael Moor, Max Horn, Christian Bock, Karsten M. Borgwardt, Bastian Rieck
Path Imputation Strategies for Signature Models. CoRR (2020)
Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI (2020)
Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean A. Bodenham, Karsten M. Borgwardt, Gunnar Rätsch, Tobias M. Merz
Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR (2019)
Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt
Topological Autoencoders. CoRR (2019)
Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt
Set Functions for Time Series. CoRR (2019)
Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. MLHC (2019)
Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. ICLR (Poster) (2019)
Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis. CoRR (2019)
Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. CoRR (2018)
Christian Bock, Thomas Gumbsch, Michael Moor, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
Association mapping in biomedical time series via statistically significant shapelet mining. Bioinform. 34 (13) (2018)