Christian Bock

27 papers A* 5Misc 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents. CoRR Muhammad Shihab Rashid, Christian Bock, Yuan Zhuang, Alexander Buchholz, Timothy B. Esler, Simon Valentin, Luca Franceschi, Martin Wistuba, Prabhu Teja Sivaprasad, Woo Jung Kim, Anoop Deoras, Giovanni Zappella, Laurent Callot
2025	J	`jnl`	SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization. CoRR Shravan Chaudhari, Rahul Thomas Jacob, Mononito Goswami, Jiajun Cao, Muhammad Shihab Rashid, Christian Bock
2025	J	`jnl`	Textual Gradients are a Flawed Metaphor for Automatic Prompt Optimization. CoRR Daniel Melcer, Qi Chen, Wen-Hao Chiang, Shweta Garg, Pranav Garg, Christian Bock
2023	A*	`conf`	Training Large-scale Foundation Models on Emerging AI Chips. KDD Aashiq Muhamed, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan
2022	J	`jnl`	Online Time Series Anomaly Detection with State Space Gaussian Processes. CoRR Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot
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	—	`—`	Motifs and Manifolds Statistical and Topological Machine Learning for Characterising and Classifying Biomedical Time Series. Christian Bock
2020	J	`jnl`	"Know your customer" - Betrugsprävention im E-Commerce. Wirtschaftsinformatik Manag. Christian Bock
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	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`	Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. NeurIPS Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
2020	J	`jnl`	Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. CoRR Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
2019	A*	`conf`	A Persistent Weisfeiler-Lehman Procedure for Graph Classification. ICML Bastian Rieck, Christian Bock, Karsten M. Borgwardt
2019	A*	`conf`	A Wasserstein Subsequence Kernel for Time Series. ICDM Christian Bock, Matteo Togninalli, M. Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, 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	—	`conf`	Smart Sensors and Actors with BACnet WF-IoT Christian Bock, Mathias Marquardt, Alexander Martens, Olaf Simanski, Olaf Hagendorf
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	—	`conf`	Forecasting Energy Demand by Clustering Smart Metering Time Series. IPMU (1) Christian Bock
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
2017	—	`conf`	Generating Load Profiles Using Smart Metering Time Series. EUSFLAT/IWIFSGN (1) Christian Bock
2017	J	`jnl`	Solving Interoperability in Translational Health. Appl. Clin. Inform. Anne M. Turner, Julio C. Facelli, Monique W. M. Jaspers, Thomas Wetter, Daniel Pfeifer, Laël Cranmer Gatewood, Terry Adam, Yu-Chuan Li, Ming-Chin Lin, R. Scott Evans, Anna L. Beukenhorst, Hugo Johan Theodoore van Mens, Esmée Tensen, Christian Bock, Laura Fendrich, Peter Seitz, Julian Suleder, Ranyah Aldekhyyel, Kent Bridgeman, Zhen Hu, Aaron Sattler, Shin-Yi Guo, Md. Mohaimenul Islam, Dina Nur Anggraini Ningrum, Hsin-Ru Tung, Jiantao Bian, Joseph M. Plasek, Casey A. Rommel, Juandalyn Burke, Harkirat Sohi
2016	—	`conf`	Clustering-Ansatz zur Erstellung von Lastprofilen zur Vorhersage des Stromverbrauchs. GvD Christian Bock
2015	Misc	`conf`	Characterizing the Frequency of Pharmacogenomic Biomarker-Guided Prescribing for Drugs with Pharmacogenomic Biomarker information in the FDA Labelling: A Pilot Study Using Data from an Electronic Health Record. AMIA Emily Beth Devine, Maher Khelifi, Katelyn Keyloun, Nathaniel Hendrix, Patrick Mathias, Christian Bock, Peter Tarczy-Hornoch
2015	—	`conf`	Visualizing Sensor Data through an Open Platform for Connected Devices. MedInfo Christian Bock, Thai Le, Arjmand Samuel, Danny Huang, Hilaire J. Thompson, George Demiris