Christian Bauckhage

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 144

Top Venues

Publications

Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness. CoRR (2024)
Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. CoRR (2023)
Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa
Informed Named Entity Recognition Decoding for Generative Language Models. CoRR (2023)
Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. ICLR (2023)
Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. DocEng (2023)
Tobias Deußer, David Leonhard, Lars Hillebrand, Armin Berger, Mohamed Khaled, Sarah Heiden, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. BigData (2023)
Maurice Günder, Facundo Ramón Ispizua Yamati, Abel Andree Barreto Alcántara, Anne-Katrin Mahlein, Rafet Sifa, Christian Bauckhage
SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet. CoRR (2023)
Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke
A New Aligned Simple German Corpus. ACL (1) (2023)
Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. CoRR (2023)
Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. ECML/PKDD (3) (2023)
Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa
Controlled Randomness Improves the Performance of Transformer Models. CoRR (2023)
Laura von Rüden, Jochen Garcke, Christian Bauckhage
How Does Knowledge Injection Help in Informed Machine Learning? IJCNN (2023)
Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Christian Bauckhage, Wolfgang Förstner, Juergen Gall, Michael Möller, Alexander G. Schwing
Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021). Int. J. Comput. Vis. 131 (5) (2023)
Maurice Günder, Sneha Banerjee, Rafet Sifa, Christian Bauckhage
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection. CoRR (2023)
Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa
Controlled Randomness Improves the Performance of Transformer Models. ICMLA (2023)
Armin Berger, Lars Hillebrand, David Leonhard, Tobias Deußer, Thiago Bell Felix De Oliveira, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. BigData (2023)
Tobias Deußer, Maren Pielka, Lisa Pucknat, Basil Jacob, Tim Dilmaghani Khameneh, Mahdis Nourimand, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
Contradiction Detection in Financial Reports. NLDL (2023)
David Biesner, Thore Gerlach, Christian Bauckhage, Bernd Kliem, Rafet Sifa
Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis. ICMLA (2022)
Maurice Günder, Facundo Ramón Ispizua Yamati, Jana Kierdorf, Ribana Roscher, Anne-Katrin Mahlein, Christian Bauckhage
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. CoRR (2022)
Christian Bauckhage, Thore Gerlach, Nico Piatkowski
QUBOs for Sorting Lists and Building Trees. CoRR (2022)
Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. ICMLA (2022)
Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
Towards automating Numerical Consistency Checks in Financial Reports. CoRR (2022)
Clayton Leroy Chapman, Lars Patrick Hillebrand, Marc Robin Stenzel, Tobias Deußer, David Biesner, Christian Bauckhage, Rafet Sifa
Towards Generating Financial Reports from Tabular Data Using Transformers. CD-MAKE (2022)
Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. CoRR (2022)
Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. ICPR (2022)
David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
Anonymization of German financial documents using neural network-based language models with contextual word representations. Int. J. Data Sci. Anal. 13 (2) (2022)
Christian Bauckhage, Helen Schneider, Benjamin Wulff, Rafet Sifa
Gradient Flows for L2 Support Vector Machine Training. CoRR (2022)
Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. CoRR (2022)
Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski
Quantum Circuit Evolution on NISQ Devices. CEC (2022)
Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. CoRR (2022)
Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. FUSION (2022)
Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski
Informed Pre-Training on Prior Knowledge. CoRR (2022)
Eldar Sultanow, Christian Bauckhage, Christian Knopf, Nico Piatkowski
Sicherheit von Quantum Machine Learning. Wirtschaftsinformatik Manag. 14 (2) (2022)
Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke
A New Aligned Simple German Corpus. CoRR (2022)
Malik Amir, Christian Bauckhage, Alina M. Chircu, Christian Czarnecki, Christian Knopf, Nico Piatkowski, Eldar Sultanow
What can we expect from Quantum (Digital) Twins? Wirtschaftsinformatik (2022)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
From Open Set Recognition Towards Robust Multi-class Classification. ICANN (3) (2022)
Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. CoRR (2022)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
Bounding open space risk with decoupling autoencoders in open set recognition. Int. J. Data Sci. Anal. 14 (4) (2022)
Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
Towards automating Numerical Consistency Checks in Financial Reports. Big Data (2022)
Maurice Günder, Nico Piatkowski, Christian Bauckhage
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning. CoRR (2022)
Barry D. Reese, Marek Kowalik, Christian Metzl, Christian Bauckhage, Eldar Sultanow
Predict better with less training data using a QNN. CoRR (2022)
Rajkumar Ramamurthy, Max Lübbering, Thiago Bell, Michael Gebauer, Bilge Ulusay, Daniel Uedelhoven, Tim Dilmaghani Khameneh, Rüdiger Loitz, Maren Pielka, Christian Bauckhage, Rafet Sifa
Automatic Indexing of Financial Documents via Information Extraction. SSCI (2021)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
Decoupling Autoencoders for Robust One-vs-Rest Classification. DSAA (2021)
Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. ESANN (2021)
César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez
Learning Deep Generative Models for Queuing Systems. AAAI (2021)
Rajkumar Ramamurthy, Maren Pielka, Robin Stenzel, Christian Bauckhage, Rafet Sifa, Tim Dilmaghani Khameneh, Ulrich Warning, Bernd Kliem, Rüdiger Loitz
ALiBERT: improved automated list inspection (ALI) with BERT. DocEng (2021)
Rhys Agombar, Christian Bauckhage, Max Lübbering, Rafet Sifa
An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks. LION (2021)
Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage
Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms. IEEE Access 9 (2021)
Kostadin Cvejoski, Ramsés J. Sánchez, Christian Bauckhage, César Ojeda
Dynamic Review-based Recommenders. CoRR (2021)
Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. Mach. Learn. Knowl. Extr. 3 (1) (2021)
Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. CoRR (2021)
Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. CoRR (2021)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage, Rafet Sifa
Utilizing Representation Learning for Robust Text Classification Under Datasetshift. LWDA (2021)
Christian Bauckhage, Ramsés J. Sánchez, Rafet Sifa
Problem Solving with Hopfield Networks and Adiabatic Quantum Computing. IJCNN (2020)
Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa
Hopfield Networks for Vector Quantization. ICANN (2) (2020)
César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev
Auto Encoding Explanatory Examples with Stochastic Paths. ICPR (2020)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage
Supervised Autoencoder Variants for End to End Anomaly Detection. ICPR Workshops (2) (2020)
Pascal Welke, Fouad Alkhoury, Christian Bauckhage, Stefan Wrobel
Decision Snippet Features. ICPR (2020)
Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage, Kristian Kersting
Matrix- and Tensor Factorization for Game Content Recommendation. Künstliche Intell. 34 (1) (2020)
Christian Bauckhage, Michael Bortz, Rafet Sifa
Shells within Minimum Enclosing Balls. DSAA (2020)
Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. CD-MAKE (2020)
Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. ICPR (2020)
Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage
Guided Reinforcement Learning via Sequence Learning. ICANN (2) (2020)
Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage
NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. CoRR (2020)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
Recurrent Point Review Models. IJCNN (2020)
César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez
Switching Dynamical Systems with Deep Neural Networks. ICPR (2020)
Rafet Sifa, Christian Bauckhage
Novelty Discovery with Kernel Minimum Enclosing Balls. LION (2020)
Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers
Learning Syllogism with Euler Neural-Networks. CoRR (2020)
Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Christian Bauckhage
Towards Map-Based Validation of Semantic Segmentation Masks. CoRR (2020)
Lukas Franken, Bogdan Georgiev, Sascha Mücke, M. Wolter, Nico Piatkowski, Christian Bauckhage
Gradient-free quantum optimization on NISQ devices. CoRR (2020)
Laura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. IDA (2020)
Christian Bauckhage, Rafet Sifa, Stefan Wrobel
Adiabatic Quantum Computing for Max-Sum Diversification. SDM (2020)
Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. ICANN (1) (2020)
Christian Bauckhage, Rafet Sifa, Dirk Hecker
tanh Neurons Are Bayesian Decision Makers. IntelliSys (3) (2020)
Maren Pielka, Rafet Sifa, Lars Patrick Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage
Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. ICPR (2020)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
Recurrent Point Review Models. CoRR (2020)
Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage
Novelty-Guided Reinforcement Learning via Encoded Behaviors. IJCNN (2020)
Eduardo Brito, Bogdan Georgiev, Daniel Domingo-Fernández, Charles Tapley Hoyt, Christian Bauckhage
RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels. LWDA (2019)
Christian Bauckhage, Rafet Sifa, Tiansi Dong
Prototypes Within Minimum Enclosing Balls. ICANN (Workshop) (2019)
Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel
A QUBO Formulation of the k-Medoids Problem. LWDA (2019)
Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers
Triple Classification Using Regions and Fine-Grained Entity Typing. AAAI (2019)
Laura von Rüden, Sebastian Mayer, Jochen Garcke, Christian Bauckhage, Jannis Schücker
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. CoRR (2019)
César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage
Patterns and Outliers in Temporal Point Processes. IntelliSys (1) (2019)
Tiansi Dong, Christian Bauckhage, Hailong Jin, Juanzi Li, Olaf Cremers, Daniel Speicher, Armin B. Cremers, Jörg Zimmermann
Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction. ICLR (Poster) (2019)
Daniel Speicher, Daniel Dong, Olaf Cremers, Christian Bauckhage, Armin B. Cremers
Notes on the Code Quality Culture on Jupyter (Notebooks). Softwaretechnik-Trends 39 (2) (2019)
Christian Bauckhage, Rafet Sifa
Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls. DSAA (2019)
Eduardo Brito, Rafet Sifa, Christian Bauckhage
Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch. GxG@CLIN (2019)
Christian Bauckhage, Daniel Schulz, Dirk Hecker
Informed Machine Learning for Industry. ERCIM News 2019 (116) (2019)
Eduardo Brito, Rafet Sifa, Christian Bauckhage, Rüdiger Loitz, Uwe Lohmeier, Christin Pünt
A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking. DocEng (2019)
Rafet Sifa, Anna Ladi, Maren Pielka, Rajkumar Ramamurthy, Lars Patrick Hillebrand, Birgit Kirsch, David Biesner, Robin Stenzel, Thiago Bell, Max Lübbering, Ulrich Nütten, Christian Bauckhage, Ulrich Warning, Benedikt Fürst, Tim Dilmaghani Khameneh, Daniel Thom, Ilgar Huseynov, Roland Kahlert, Jennifer Schlums, Hisham Ismail, Bernd Kliem, Rüdiger Loitz
Towards Automated Auditing with Machine Learning. DocEng (2019)
Rajkumar Ramamurthy, Robin Stenzel, Rafet Sifa, Anna Ladi, Christian Bauckhage
Echo State Networks for Named Entity Recognition. ICANN (Workshop) (2019)
Rafet Sifa, Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Lars Patrick Hillebrand, Christian Bauckhage
Towards Contradiction Detection in German: a Translation-Driven Approach. SSCI (2019)
Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. CoRR (2019)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda
Recurrent Point Processes for Dynamic Review Models. CoRR (2019)
Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. ICANN (2) (2019)
Maren Pielka, Rafet Sifa, Rajkumar Ramamurthy, César Ojeda, Christian Bauckhage
A Community Detection Based Approach for Exploring Patterns in Player Reviews. IntelliSys (1) (2019)
Vishwani Gupta, Sven Giesselbach, Stefan Rüping, Christian Bauckhage
Improving Word Embeddings Using Kernel PCA. RepL4NLP@ACL (2019)
César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage
Recurrent Adversarial Service Times. CoRR (2019)
Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel
Max-Sum Dispersion via Quantum Annealing. LWDA (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian Bauckhage