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Publications

Displaying results 41 to 50 of 578.

  1. Daniel Sonntag; Michael Barz; Thiago Gouvea

    A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)

    German Research Center for AI, DFKI Technical Report, 6/2024.

  2. Neda Foroutan; Markus Schröder; Andreas Dengel

    CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2403.15322, Pages 1-10, arXiv, 3/2024.

  3. Timo Markert; Elias Hoerner; Sebastian Matich; Andreas Theissler; Martin Atzmueller

    Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach

    In: 2023 International Conference on Machine Learning and Applications (ICMLA). International Conference on Machine Learning and Applications (ICMLA), Pages 1045-1051, IEEE, 2023.

  4. Liane Vogel; Carsten Binnig

    WikiDBs: A Corpus of Relational Databases From Wikidata

    In: Rajesh Bordawekar; Cinzia Cappiello; Vasilis Efthymiou; Lisa Ehrlinger; Vijay Gadepally; Sainyam Galhotra; Sandra Geisler; Sven Groppe; Le Gruenwald; Alon Y. Halevy; Hazar Harmouch; Oktie Hassanzadeh; Ihab F. Ilyas; Ernesto Jiménez-Ruiz; Sanjay Krishnan; Tirthankar Lahiri; Guoliang Li; Jiaheng Lu; Wolfgang Mauerer; Umar Farooq Minhas; Felix Naumann; M. Tamer Özsu; El Kindi Rezig; Kavitha Srinivas; Michael Stonebraker; Satyanarayana R. Valluri; Maria-Esther Vidal; Haixun Wang; Jiannan Wang; Yingjun Wu; Xun Xue; Mohamed Zaït; Kai Zeng (Hrsg.). Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023). International Conference on Very Large Data Bases (VLDB), August 28 - September 1, Vancouver, Canada, CEUR Workshop Proceedings, Vol. 3462, CEUR-WS.org, 2023.

  5. Benjamin Hilprecht; Kristian Kersting; Carsten Binnig

    SPARE: A Single-Pass Neural Model for Relational Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.13581, Pages 0-10, arXiv, 2023.

  6. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Sum-Product Networks for Hybrid Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03297, Pages 0-10, arXiv, 2017.

  7. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 3828-3835, AAAI Press, 2018.

  8. Michael Benedikt; Kristian Kersting; Phokion G. Kolaitis; Daniel Neider

    Logic and Learning (Dagstuhl Seminar 19361)

    In: Dagstuhl Reports, Vol. 9, No. 9, Pages 1-22, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2019.

  9. Lukas Sommer; Julian Oppermann; Alejandro Molina; Carsten Binnig; Kristian Kersting; Andreas Koch

    Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators

    In: 36th IEEE International Conference on Computer Design. IEEE International Conference on Computer Design (ICCD-2018), October 7-10, Orlando, FL, USA, Pages 350-357, IEEE Computer Society, 2018.

  10. Antonio Vergari; Robert Peharz; Nicola Di Mauro; Alejandro Molina; Kristian Kersting; Floriana Esposito

    Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 4163-4170, AAAI Press, 2018.

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