Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAISChristian Bauckhage ist Professor für Informatik (Intelligente lernende Systeme) an der Universität Bonn, Lead Scientist für Maschinelles Lernen am Fraunhofer IAIS und Co-Direktor des Lamarr-Instituts für Maschinelles Lernen und Künstliche Intelligenz. Nach erfolgreicher Promotion in Informatik an der Universität Bielefeld arbeitete er zunächst als PostDoc am Centre for Vision Research in Toronto und anschließend als Senior Research Scientist bei den Deutsche Telekom Laboratories in Berlin, bevor er 2008 nach Bonn berufen wurde. Seine Erfahrung im Bereich Data Science und Künstliche Intelligenz erstreckt sich bereits über mehr als 20 Jahre und begründet seine Rolle als renommierten KI-Experte und Referent auf Veranstaltungen, Messen und Tagungen. Aktuell befasst sich Prof. Bauckhage vor allem mit dem Thema Quantencomputing und den durch Quantencomputern entstehenden Möglichkeiten, bisher nahezu unlösbare Verfahren der Künstlichen Intelligenz und des Maschinellen Lernens zu erschließen.
Prof. Dr. Christian Bauckhage
Publikationen
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2026 | Hybrid Representation Learning for Information Extraction Deußer, Tobias |
Dissertation Doctoral Thesis |
| 2026 | CFIRE: A General Method for Combining Local Explanations Müller, Sebastian; Toborek, Vanessa; Horvath, Tamas; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2026 | Hybrid Modeling of Cercospora Leaf Spot Epidemiology: Integrating Mechanistic and Machine Learning Approaches Using Remote-Sensing and Environmental Data Ispizua Yamati, Facundo Ramón; Günder, Maurice; Bömer, Jonas; Barreto, Abel; Varrelmann, Mark; Bauckhage, Christian; Mahlein, Anne-Katrin |
Zeitschriftenaufsatz Journal Article |
| 2026 | Quantum Computing from Hopfield Nets: A Textbook with Python Code Examples Bauckhage, Christian; Sifa, Rafet |
Buch Book |
| 2025 | Leveraging Transfer Learning with Class-Specific Decoders for Laparoscopic Segmentation Priya, Priya; Parikh, Aditya; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2025 | Deep Representation Learning for Financial Document Analytics Hillebrand, Lars Patrick |
Dissertation Doctoral Thesis |
| 2025 | Effective Disjoint Representational Learning for Anatomical Segmentation | Konferenzbeitrag nicht im Tagungsband Conference Paper not in Proceedings |
| 2025 | ArDia: Improving Arabic Dialectal Language Classification Using a Novel Dataset Elsafty, Hossam; Abdou, Bouthaina Soulef; Deußer, Tobias; Pielka, Maren; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2025 | SugarViT - Multi-objective regression of UAV images with Vision Transformers and Deep Label Distribution Learning demonstrated on disease severity prediction in sugar beet Günder, Maurice; Ispizua Yamati, Facundo Ramón; Barreto, Abel; Mahlein, Anne-Katrin; Sifa, Rafet; Bauckhage, Christian |
Zeitschriftenaufsatz Journal Article |
| 2025 | A Survey on Current Trends and Recent Advances in Text Anonymization Deußer, Tobias; Sparrenberg, Lorenz Tim; Berger, Armin; Hahnbück, Max; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2025 | Learning to Rank Features to Enhance Graph Neural Networks for Graph Classification Alkhoury, Fouad; Horvath, Tamas; Bauckhage, Christian; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2025 | First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery Tomar, Priya; Broß, Maximilian; Feodorovici, Philipp; Arensmeyer, Jan Christian; Leifels, Philipp; Parikh, Aditya; Matthaei, Hanno; Bauckhage, Christian; Schneider, Helen; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2025 | Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality Heuvel, Jorge de; Müller, Sebastian; Wessels, Marlene; Akhtar, Aftab; Bauckhage, Christian; Bennewitz, Mären |
Konferenzbeitrag Conference Paper |
| 2025 | Preface Schulz, Daniel; Bauckhage, Christian |
Aufsatz in Buch Book Article |
| 2025 | Improving graph neural networks through feature importance learning Alkhoury, Fouad; Horváth, Tamás; Bauckhage, Christian; Wrobel, Stefan |
Zeitschriftenaufsatz Journal Article |
| 2025 | Leveraging Synthetically Generated Data for Real Estate Document Classification Deußer, Tobias; Ramien, Gregor; Weber, Nico; Meidinger, Maximilian; Hahnbück, Max; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2025 | Informed Machine Learning | Sammelband Anthology |
| 2025 | Training Support Vector Machines by Solving Differential Equations Bauckhage, Christian; Sifa, Rafet |
Aufsatz in Buch Book Article |
| 2025 | Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models Deußer, Tobias; Hahnbück, Max; Uelwer, Tobias; Zhao, Cong; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2025 | Introduction and Overview Bauckhage, Christian; Schulz, Daniel; Rüden, Laura von |
Aufsatz in Buch Book Article |
| 2025 | Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models Deußer, Tobias; Hahnbück, Max; Uelwer, Tobias; Zhao, Cong; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2025 | Exploring Curriculum Learning for Languages: Lessons from Regular Language Tasks Toborek, Vanessa; Seiffarth, Florian; Müller, Sebastian; Horvath, Tamas; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2025 | Kernel k-Medoids as General Vector Quantization Gerlach, Thore; Mücke, Sascha; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2024 | A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain Deußer, Tobias; Zhao, Cong; Sparrenberg, Lorenz; Uedelhoven, Daniel; Berger, Armin; Pielka, Maren; Hillebrand, Lars Patrick; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2024 | Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports Deußer, Tobias; Zhao, Cong; Uedelhoven, Daniel; Sparrenberg, Lorenz; Hillebrand, Lars Patrick; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2024 | Pointer-Guided Pre-training: Infusing Large Language Models with Paragraph-Level Contextual Awareness Hillebrand, Lars Patrick; Pradhan, Prabhupad; Sifa, Rafet; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2024 | Controlled Randomness Improves the Performance of Transformer Models Deußer, Tobias; Zhao, Cong; Krämer, Wolfgang; Leonhard, David; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2024 | Deep Dynamic Language Models Cvejoski, Kostadin |
Dissertation Doctoral Thesis |
| 2024 | Informed Named Entity Recognition Decoding for Generative Language Models Deußer, Tobias; Hillebrand, Lars Patrick; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2024 | Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model Benchmarking Günder, Maurice; Banerjee, Sneha; Sifa, Rafet; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2024 | Fusing Speech and Language Models for Dementia Detection Deußer, Tobias; Siddiqi, Abdul Mohsin; Sparrenberg, Lorenz; Adams, Tobias; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2024 | Table Structure Recognition via Encoder/Decoder Vision Transformers Uedelhoven, Daniel; Lübbering, Max; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2024 | Automatic scoring of Rhizoctonia crown and root rot affected sugar beet fields from orthorectified UAV images using Machine Learning Ispizua Yamati, Facundo Ramón; Günder, Maurice; Barreto Alcántara, Abel Andree; Bömer, Jonas; Laufer, Daniel; Bauckhage, Christian; Mahlein, Anne-Katrin |
Zeitschriftenaufsatz Journal Article |
| 2023 | Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models Deußer, Tobias; Leonhard, David; Hillebrand, Lars Patrick; Berger, Armin; Khaled, Mohamed; Heiden, Sarah; Dilmaghani, Tim; Kliem, Bernd; Loitz, Rüdiger; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2023 | Informed Machine Learning: Integrating Prior Knowledge into Data-Driven Learning Systems Rüden, Laura von |
Dissertation Doctoral Thesis |
| 2023 | Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models Hillebrand, Lars Patrick; Berger, Armin; Deußer, Tobias; Dilmaghani, Tim; Khaled, Mohamed; Kliem, B.; Loitz, Rüdiger; Pielka, Maren; Leonhard, David; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2023 | Informed Named Entity Recognition Decoding for Generative Language Models Deußer, Tobias; Hillebrand, Lars Patrick; Bauckhage, Christian; Sifa, Rafet |
Paper |
| 2023 | How Does Knowledge Injection Help in Informed Machine Learning? Rüden, Laura von; Garcke, Jochen; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2023 | A New Aligned Simple German Corpus Toborek, Vanessa; Busch, Moritz; Boßert, Malte; Bauckhage, Christian; Welke, Pascal |
Konferenzbeitrag Conference Paper |
| 2023 | Contradiction Detection in Financial Reports Deußer, Tobias; Pielka, Maren; Pucknat, Lisa; Jacob, Basil; Dilmaghani, Tim; Nourimand, Mahdis; Kliem, Bernd; Loitz, Rüdiger; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2023 | Robust Information Extraction From Unstructured Documents Namysl, Marcin |
Dissertation Doctoral Thesis |
| 2023 | An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning Müller, Sebastian; Toborek, Vanessa; Beckh, Katharina; Jakobs, Matthias; Bauckhage, Christian; Welke, Pascal |
Konferenzbeitrag Conference Paper |
| 2023 | Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization Ramamurthy, Rajkumar; Ammanabrolu, Prithviraj; Brantley, Kianté; Hessel, Jack; Sifa, Rafet; Bauckhage, Christian; Hajishirzi, Hannaneh; Choi, Yejin |
Paper |
| 2023 | Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems Rueden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Walczak, Michal; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Garcke, Jochen; Bauckhage, Christian; Schuecker, Jannis |
Zeitschriftenaufsatz Journal Article |
| 2023 | Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models Berger, Armin; Hillebrand, Lars Patrick; Leonhard, David; Deußer, Tobias; Bell Felix de Oliveira, Thiago; Dilmaghani, Tim; Khaled, Mohamed; Kliem, Bernd; Loitz, Rüdiger; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2023 | Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021) Bauckhage, Christian; Förstner, Wolfgang; Gall, Juergen; Möller, Michael; Schwing, Alexander Gerhard |
Editorial |
| 2023 | Data-Driven and Rule-Based Approaches to Improving Bavarian Speech Recognition Bystrich, Tobias |
Bachelor Thesis |
| 2022 | KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents Deußer, Tobias; Ali, Syed Musharraf; Hillebrand, Lars Patrick; Nurchalifah, Desiana Dien; Jacob, Basil; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2022 | From Open Set Recognition Towards Robust Multi-class Classification Lübbering, Max; Gebauer, Michael; Ramamurthy, Rajkumar; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2022 | Quantum Circuit Evolution on NISQ Devices Franken, Lukas; Georgiev, Bogdan; Mücke, Sascha; Wolter, Moritz; Heese, Raoul; Bauckhage, Christian; Piatkowski, Nico |
Konferenzbeitrag Conference Paper |
| 2022 | Towards Generating Financial Reports from Tabular Data Using Transformers Chapman, Clayton; Hillebrand, Lars Patrick; Stenzel, Marc Robin; Deußer, Tobias; Biesner, David; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2022 | Gradient Flows for L2 Support Vector Machine Training Bauckhage, Christian; Schneider, Helen; Wulff, Benjamin; Sifa, Rafet |
Paper |
| 2022 | Informed Pre-Training on Prior Knowledge Rüden, Laura von; Houben, Sebastian; Cvejoski, Kostadin; Bauckhage, Christian; Piatkowski, Nico |
Paper |
| 2022 | Feature Attribution for Automatic Medical Coding Sauvant, Marie Pauline |
Master Thesis |
| 2022 | Sicherheit von Quantum Machine Learning Sultanow, Eldar; Bauckhage, Christian; Knopf, Christian; Piatkowski, Nico |
Zeitschriftenaufsatz Journal Article |
| 2022 | Dynamic Review-based Recommenders Cvejoski, Kostadin; Sánchez, Ramsés J.; Bauckhage, Christian; Ojeda, César |
Konferenzbeitrag Conference Paper |
| 2022 | Anonymization of German financial documents using neural network-based language models with contextual word representations Biesner, David; Ramamurthy, Rajkumar; Loitz, Rüdiger; Lübbering, Max; Hillebrand, Lars Patrick; Ladi, Anna; Stenzel, Robin; Pielka, Maren; Bauckhage, Christian; Sifa, Rafet |
Zeitschriftenaufsatz Journal Article |
| 2022 | What can we expect from Quantum (Digital) Twins? Amir, Malik; Bauckhage, Christian; Chircu, Alina; Czarnecki, Christian; Knopf, Christian; Piatkowski, Nico; Sultanow, Eldar |
Konferenzbeitrag Conference Paper |
| 2022 | KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports Hillebrand, Lars Patrick; Deußer, Tobias; Dilmaghani, Tim; Kliem, Bernd; Loitz, Rüdiger; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2022 | Deep learning supports the differentiation of alcoholic and other-than-alcoholic cirrhosis based on MRI Luetkens, J.A.; Nowak, S.; Mesropyan, N.; Block, W.; Praktiknjo, M.; Chang, J.; Bauckhage, C.; Sifa, Rafet; Sprinkart, A.M.; Faron, A.; Attenberger, U. |
Zeitschriftenaufsatz Journal Article |
| 2022 | Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis Biesner, David; Gerlach, Thore Thassilo; Bauckhage, Christian; Kliem, Bernd; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2022 | Bounding open space risk with decoupling autoencoders in open set recognition Lübbering, Max; Gebauer, M.; Ramamurthy, Rajkumar; Bauckhage, Christian; Sifa, Rafet |
Zeitschriftenaufsatz Journal Article |
| 2022 | Towards automating Numerical Consistency Checks in Financial Reports Hillebrand, Lars Patrick; Deußer, Tobias; Dilmaghani, Tim; Kliem, Bernd; Loitz, Rüdiger; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2022 | What can we expect from Quantum (Digital) Twins? Amir, Malik; Bauckhage, Christian; Chircu, Alina M.; Czarnecki, Christian A.; Knopf, Christian; Piatkowski, Nico; Sultanow, Eldar |
Konferenzbeitrag Conference Paper |
| 2022 | Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision Günder, Maurice; Ispizua Yamati, F.R.; Kierdorf, J.; Roscher, R.; Mahlein, A.K.; Bauckhage, Christian |
Zeitschriftenaufsatz Journal Article |
| 2022 | Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning Piatkowski, Nico; Gerlach, Thore Thassilo; Hugues, Romain; Sifa, Rafet; Bauckhage, Christian; Barbaresco, F. |
Konferenzbeitrag Conference Paper |
| 2021 | An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks Agombar, Rhys; Bauckhage, Christian; Lübbering, Max; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2021 | Decoupling Autoencoders for Robust One-vs-Rest Classification Lübbering, Max; Gebauer, Michael; Ramamurthy, Rajkumar; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2021 | ALiBERT: Improved automated list inspection (ALI) with BERT Ramamurthy, Rajkumar; Pielka, Maren; Stenzel, Marc Robin; Bauckhage, Christian; Sifa, Rafet; Khameneh, Tim Dilmaghani; Warning, Ulrich; Kliem, Bernd; Loitz, Rüdiger |
Konferenzbeitrag Conference Paper |
| 2021 | Switching Dynamical Systems with Deep Neural Networks Ojeda, César; Georgiev, Bogdan; Cvejoski, Kostadin; Schücker, Jannis; Bauckhage, Christian; Sánchez, Ramsés J. |
Konferenzbeitrag Conference Paper |
| 2021 | Decision Snippet Features Welke, Pascal; Alkhoury, Fouad; Bauckhage, Christian; Wrobel, Stefan |
Konferenzbeitrag Conference Paper |
| 2021 | Auto Encoding Explanatory Examples with Stochastic Paths Ojeda, César; Sánchez, Ramsés J.; Cvejoski, Kostadin; Schücker, Jannis; Bauckhage, Christian; Georgiev, Bogdan |
Konferenzbeitrag Conference Paper |
| 2021 | Performance of ECG-based seizure detection algorithms strongly depends on training and test conditions Jahanbekam, A.; Baumann, J.; Nass, R.D.; Bauckhage, Christian; Hill, H.; Elger, C.E.; Surges, R. |
Zeitschriftenaufsatz Journal Article |
| 2021 | Grundlagen des Maschinellen Lernens Bauckhage, Christian; Hübner, Wolfgang; Hug, Ronny; Paaß, Gerhard; Rüping, Stefan |
Aufsatz in Buch Book Article |
| 2021 | Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM Hillebrand, Lars Patrick; Biesner, David; Bauckhage, Christian; Sifa, Rafet |
Zeitschriftenaufsatz Journal Article |
| 2021 | Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization with Evolutionary Algorithms Günder, Maurice; Piatkowski, Nico; Rüden, Laura von; Sifa, Rafet; Bauckhage, Christian |
Zeitschriftenaufsatz Journal Article |
| 2021 | Preface Bauckhage, Christian; Gall, Juergen; Schwing, Alexander Gerhard |
Editorial |
| 2021 | Pattern Recognition. 43rd DAGM German Conference, DAGM GCPR 2021. Proceedings | Tagungsband Conference Proceeding |
| 2021 | Learning Deep Generative Models for Queuing Systems Ojeda, César; Cvejoski, Kostadin; Georgiev, Bogdan; Bauckhage, Christian; Schücker, Jannis; Sánchez, Ramsés J. |
Konferenzbeitrag Conference Paper |
| 2021 | Utilizing Representation Learning for Robust Text Classification Under Datasetshift Lübbering, Max; Gebauer, Michael; Ramamurthy, Rajkumar; Pielka, Maren; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2021 | Automatic Indexing of Financial Documents via Information Extraction Ramamurthy, Rajkumar; Lübbering, Max; Bell , Thiago; Gebauer, Michael; Ulusay, Bilge; Uedelhoven, Daniel; Dilmaghani, Tim; Loitz, Rüdiger; Pielka, Maren; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2021 | Vertrauenswürdiges, transparentes und robustes Maschinelles Lernen Bauckhage, Christian; Fürnkranz, Johannes; Paaß, Gerhard |
Aufsatz in Buch Book Article |
| 2021 | Supervised autoencoder variants for end to end anomaly detection Lübbering, Max; Gebauer, Michael; Ramamurthy, Rajkumar; Sifa, Rafet; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2021 | Street-Map Based Validation of Semantic Segmentation in Autonomous Driving Rüden, Laura von; Wirtz, Tim; Hueger, Fabian; Schneider, Jan David; Piatkowski, Nico; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2021 | Learning Deep Generative Models for Queuing Systems Ojeda, Cesar Ali Marin; Cvejoski, Kostadin; Georgiev, Bogdan; Bauckhage, Christian; Schuecker, Jannis; Sánchez, Ramsés J. |
Konferenzbeitrag Conference Paper |
| 2021 | Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks Pielka, Maren; Sifa, Rafet; Hillebrand, Lars Patrick; Biesner, David; Ramamurthy, Rajkumar; Ladi, Anna; Bauckhage, Christian |
Konferenzbeitrag Conference Paper |
| 2021 | Tiefe neuronale Netze Bauckhage, Christian; Hübner, Wolfgang; Hug, Ronny; Paaß, Gerhard |
Aufsatz in Buch Book Article |
| 2021 | Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis Lübbering, Max; Pielka, Maren; Das, Kajaree; Gebauer, Michael; Ramamurthy, Rajkumar; Bauckhage, Christian; Sifa, Rafet |
Konferenzbeitrag Conference Paper |
| 2021 | tanh Neurons are Bayesian Decision Makers Bauckhage, Christian; Sifa, Rafet; Hecker, Dirk |
Konferenzbeitrag Conference Paper |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica