| 2024 | ICLR | Uncertainty Quantification via Stable Distribution Propagation. | Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin |
| 2023 | ICLR | ISAAC Newton: Input-based Approximate Curvature for Newton's Method. | Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen |
| 2022 | CVPR | GenDR: A Generalized Differentiable Renderer. | Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen |
| 2022 | ICLR | Monotonic Differentiable Sorting Networks. | Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen |
| 2022 | ICML | Differentiable Top-k Classification Learning. | Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen |
| 2021 | ICML | Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. | Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen |
| 2021 | IDA | Gradient Ascent for Best Response Regression. | Victoria Racher, Christian Borgelt |
| 2020 | DATA | Initializing k-means Clustering. | Christian Borgelt, Olha Yarikova |
| 2020 | IDA | Even Faster Exact k-Means Clustering. | Christian Borgelt |
| 2019 | ICAART | Wide and Deep Reinforcement Learning for Grid-based Action Games. | Juan M. Montoya, Christian Borgelt |
| 2019 | ICAART | Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games. | Juan M. Montoya, Christoph Doell, Christian Borgelt |
| 2019 | ICMLA | Widened Learning of Index Tracking Portfolios. | Iuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt |
| 2018 | IDA | Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers. | Christoph Doell, Sarah E. Donohue, Cedrik Ptz, Christian Borgelt |
| 2018 | IDA | Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors. | Oliver R. Sampson, Christian Borgelt, Michael R. Berthold |
| 2018 | IDA | Learned Feature Generation for Molecules. | Patrick Winter, Christian Borgelt, Michael R. Berthold |
| 2015 | EUSFLAT | Mining Frequent Parallel Episodes with Selective Participation. | Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse |
| 2015 | EUSFLAT | Mining Frequent Synchronous Patterns with a Graded Notion of Synchrony. | Salatiel Ezennaya-Gomez, Christian Borgelt |
| 2015 | EUSFLAT | Automatic learning of synchrony in neuronal electrode recordings. | David Picado-Muio, Christian Borgelt |
| 2015 | IJCCI | Mining Significant Frequent Patterns in Parallel Episodes with a Graded Notion of Synchrony and Selective Participation. | Salatiel Ezennaya-Gomez, Christian Borgelt |
| 2015 | IJCCI | Handling Selective Participation in Neuron Assembly Detection. | Salatiel Ezennaya-Gomez, Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse |
| 2014 | IDA | Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD. | Christian Borgelt, David Picado-Muio |
| 2013 | EUSFLAT | Prototype Construction for Clustering of Point Processes based on Imprecise Synchrony. | Christian Borgelt, Christian Braune |
| 2013 | IDA | Finding Frequent Patterns in Parallel Point Processes. | Christian Borgelt, David Picado-Muio |
| 2013 | IDA | Behavioral Clustering for Point Processes. | Christian Braune, Christian Borgelt, Rudolf Kruse |
| 2012 | IDA | Assembly Detection in Continuous Neural Spike Train Data. | Christian Braune, Christian Borgelt, Sonja Grn |
| 2012 | IDA | Fuzzy Frequent Pattern Mining in Spike Trains. | David Picado-Muio, Ivn Castro Len, Christian Borgelt |
| 2011 | EDBT | Finding closed frequent item sets by intersecting transactions. | Christian Borgelt, Xiaoyuan Yang, Rubn Nogales-Cadenas, Pedro Carmona-Saez, Alberto D. Pascual-Montano |
| 2011 | IDA | Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions. | Christian Borgelt, Tobias Ktter |
| 2011 | IDA | Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing. | Christian Braune, Christian Borgelt, Sonja Grn |
| 2011 | PAKDD | Item Set Mining Based on Cover Similarity. | Marc Segond, Christian Borgelt |
| 2010 | IDA | Selecting the Links in BisoNets Generated from Document Collections. | Marc Segond, Christian Borgelt |
| 2009 | EUSFLAT | SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining. | Christian Borgelt, Xiaomeng Wang |
| 2009 | ICASSP | Identification of neurons participating in cell assemblies. | Sonja Grn, Denise Berger, Christian Borgelt |
| 2007 | ICDM | Subgraph Support in a Single Large Graph. | Mathias Fiedler, Christian Borgelt |
| 2006 | ICDM | Full Perfect Extension Pruning for Frequent Graph Mining. | Christian Borgelt, Thorsten Meinl |
| 2005 | ECSQARU | Molecular Fragment Mining for Drug Discovery. | Christian Borgelt, Michael R. Berthold, David E. Patterson |
| 2005 | ECSQARU | Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. | Christian Borgelt, Rudolf Kruse |
| 2005 | ICMLA | Fuzzy frequent pattern discovering based on recursive elimination. | Xiaomeng Wang, Christian Borgelt, Rudolf Kruse |
| 2005 | ISAAC | Minimum Weight Triangulation by Cutting Out Triangles. | Magdalene Grantson, Christian Borgelt, Christos Levcopoulos |
| 2004 | ISCAS | Learning vector quantization: cluster size and cluster number. | Christian Borgelt, Daniela Girimonte, Giuseppe Acciani |
| 2004 | ISCAS | Modeling and diagnosis of analog circuits with probabilistic graphical models. | Christian Borgelt, Daniela Girimonte, Giuseppe Acciani |
| 2004 | SMC | Advanced pruning strategies to speed up mining closed molecular fragments. | Christian Borgelt, Thorsten Meinl, Michael R. Berthold |
| 2003 | IDA | Large Scale Mining of Molecular Fragments with Wildcards. | Heiko Hofer, Christian Borgelt, Michael R. Berthold |
| 2003 | KI | On Identifying Tree-Structured Perfect Maps. | Christian Borgelt |
| 2002 | ALT | Data Mining with Graphical Models. | Rudolf Kruse, Christian Borgelt |
| 2002 | DIS | Data Mining with Graphical Models. | Rudolf Kruse, Christian Borgelt |
| 2002 | ICDM | Mining Molecular Fragments: Finding Relevant Substructures of Molecules. | Christian Borgelt, Michael R. Berthold |
| 2001 | ECSQARU | An Empirical Investigation of the K2 Metric. | Christian Borgelt, Rudolf Kruse |
| 1999 | ECSQARU | A Critique of Inductive Causation. | Christian Borgelt, Rudolf Kruse |
| 1998 | KI | Data Mining with Graphical Models. | Rudolf Kruse, Christian Borgelt |
| 1997 | ECSQARU | Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures. | Christian Borgelt, Rudolf Kruse |