Michael Moor - RankMe

41 papers A* 5Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Agent Laboratory: Using LLM Agents as Research Assistants. EMNLP (Findings) Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Michael Moor, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	AgentRxiv: Towards Collaborative Autonomous Research. CoRR Samuel Schmidgall, Michael Moor
2025	J	`jnl`	Agentic Systems in Radiology: Design, Applications, Evaluation, and Challenges. CoRR Christian Bluethgen, Dave Van Veen, Daniel Truhn, Jakob Nikolas Kather, Michael Moor, Malgorzata Polacin, Akshay Chaudhari, Thomas Frauenfelder, Curtis P. Langlotz, Michael Krauthammer, Farhad Nooralahzadeh
2025	J	`jnl`	Enhancing Radiology Report Generation and Visual Grounding using Reinforcement Learning. CoRR Benjamin Gundersen, Nicolas Deperrois, Samuel Ruipérez-Campillo, Thomas M. Sutter, Julia E. Vogt, Michael Moor, Farhad Nooralahzadeh, Michael Krauthammer
2025	J	`jnl`	MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and Planning. CoRR Yulun Jiang, Yekun Chai, Maria Brbic, Michael Moor
2025	J	`jnl`	MIRIAD: Augmenting LLMs with millions of medical query-response pairs. CoRR Qinyue Zheng, Salman Abdullah, Sam Rawal, Cyril Zakka, Sophie Ostmeier, Maximilian Purk, Eduardo Pontes Reis, Eric J. Topol, Jure Leskovec, Michael Moor
2025	J	`jnl`	MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology. CoRR Kiril Vasilev, Alexandre Misrahi, Eeshaan Jain, Phil F. Cheng, Petros Liakopoulos, Olivier Michielin, Michael Moor, Charlotte Bunne
2025	A*	`conf`	Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards. EMNLP Jaehoon Yun, Jiwoong Sohn, Jungwoo Park, Hyunjae Kim, Xiangru Tang, Daniel Shao, Yonghoe Koo, Minhyeok Ko, Qingyu Chen, Mark Gerstein, Michael Moor, Jaewoo Kang
2025	J	`jnl`	Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards. CoRR Jaehoon Yun, Jiwoong Sohn, Jungwoo Park, Hyunjae Kim, Xiangru Tang, Yanjun Shao, Yonghoe Koo, Minhyeok Ko, Qingyu Chen, Mark Gerstein, Michael Moor, Jaewoo Kang
2025	J	`jnl`	Meta-RL Induces Exploration in Language Agents. CoRR Yulun Jiang, Liangze Jiang, Damien Teney, Michael Moor, Maria Brbic
2025	J	`jnl`	SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning. CoRR 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
2024	J	`jnl`	AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments. CoRR Samuel Schmidgall, Rojin Ziaei, Carl Harris, Eduardo Pontes Reis, Jeffrey Jopling, Michael Moor
2024	J	`jnl`	Almanac Copilot: Towards Autonomous Electronic Health Record Navigation. CoRR Cyril Zakka, Joseph Cho, Gracia Fahed, Rohan Shad, Michael Moor, Robyn Fong, Dhamanpreet Kaur, Vishnu Ravi, Oliver O. Aalami, Roxana Daneshjou, Akshay Chaudhari, William Hiesinger
2024	J	`jnl`	Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs. CoRR Jialiang Xu, Michael Moor, Jure Leskovec
2023	—	`conf`	Med-Flamingo: a Multimodal Medical Few-shot Learner. ML4H@NeurIPS Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, Pranav Rajpurkar
2023	J	`jnl`	Med-Flamingo: a Multimodal Medical Few-shot Learner. CoRR Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec
2023	—	`conf`	Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. EMNLP (Findings) 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
2023	J	`jnl`	Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. CoRR 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
2023	A*	`conf`	Zero-shot causal learning. NeurIPS Hamed Nilforoshan, Michael Moor, Yusuf H. Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
2023	J	`jnl`	Zero-shot causal learning. CoRR Hamed Nilforoshan, Michael Moor, Yusuf H. Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
2022	—	`—`	Machine Learning on Clinical Time Series: Classification and Representation Learning. Michael Moor
2022	J	`jnl`	Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients. Bioinform. Bowen Fan, Juliane Klatt, Michael Moor, Latasha A. Daniels, Philipp K. A Agyeman, Christoph Berger, Eric Giannoni, Martin Stocker, Klara M. Posfay-Barbe, Ulrich Heininger, Sara Bernhard-Stirnemann, Anita Niederer-Loher, Christian R. Kahlert, Giancarlo Natalucci, Christa Relly, Thomas Riedel, Christoph Aebi, Luregn J. Schlapbach, Lazaro N. Sanchez-Pinto, Karsten M. Borgwardt
2022	A*	`conf`	Topological Graph Neural Networks. ICLR Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
2021	J	`jnl`	A Survey of Topological Machine Learning Methods. Frontiers Artif. Intell. Felix Hensel, Michael Moor, Bastian Rieck
2021	—	`ch.`	Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning. Artificial Neural Networks, 3rd Edition Christian Bock, Michael Moor, Catherine R. Jutzeler, Karsten M. Borgwardt
2021	J	`jnl`	Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. CoRR Michael Moor, Nicolas Bennett, Drago Plecko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten M. Borgwardt
2021	J	`jnl`	Topological Graph Neural Networks. CoRR Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
2020	J	`jnl`	Enhancing statistical power in temporal biomarker discovery through representative shapelet mining. Bioinform. Thomas Gumbsch, Christian Bock, Michael Moor, Bastian Rieck, Karsten M. Borgwardt
2020	—	`conf`	Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
2020	J	`jnl`	Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
2020	J	`jnl`	Path Imputation Strategies for Signature Models. CoRR Michael Moor, Max Horn, Christian Bock, Karsten M. Borgwardt, Bastian Rieck
2020	A*	`conf`	Set Functions for Time Series. ICML Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt
2020	A*	`conf`	Topological Autoencoders. ICML Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2019	—	`conf`	Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. MLHC Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
2019	J	`jnl`	Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR 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
2019	—	`conf`	Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. ICLR (Poster) Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
2019	J	`jnl`	Set Functions for Time Series. CoRR Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt
2019	J	`jnl`	Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis. CoRR Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
2019	J	`jnl`	Topological Autoencoders. CoRR Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2018	J	`jnl`	Association mapping in biomedical time series via statistically significant shapelet mining. Bioinform. Christian Bock, Thomas Gumbsch, Michael Moor, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
2018	J	`jnl`	Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. CoRR Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt