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Publications

Displaying results 1951 to 1960 of 15024.

  1. Yannis Chronis; Yawen Wang; Lyubomir Ganev; Sami Abu-El-Haija; Chelsea Lin; Carsten Binnig; Fatma Özcan

    CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.16170, Pages 1-12, arXiv, 2024.

  2. Adrian Lutsch; Muhammad El-Hindi; Matthias Heinrich; Daniel Ritter; Zsolt István; Carsten Binnig

    Benchmarking Analytical Query Processing in Intel SGXv2

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2403.11874, Pages 1-13, arXiv, 2024.

  3. Faeze Faghih; Tobias Ziegler; Zsolt István; Carsten Binnig

    SmartNICs in the Cloud: The Why, What and How of In-network Processing for Data-Intensive Applications

    In: Pablo Barceló; Nayat Sánchez-Pi; Alexandra Meliou; S. Sudarshan (Hrsg.). Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 556-560, ACM, 2024.

  4. Faeze Faghih; Tobias Ziegler; Zsolt István; Carsten Binnig

    SmartNICs in the Cloud: The Why, What and How of In-network Processing for Data-Intensive Applications

    In: Pablo Barceló; Nayat Sánchez-Pi; Alexandra Meliou; S. Sudarshan (Hrsg.). Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 556-560, ACM, 2024.

  5. Nadja Geisler; Carsten Binnig

    Towards Extending XAI for Full Data Science Pipelines

    In: Jean-Daniel Fekete; Behrooz Omidvar-Tehrani; Kexin Rong; Roee Shraga (Hrsg.). Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics, HILDA 24, Santiago, Chile, 14 June 2024. Workshop on Human-In-the-Loop Data Analytics (HILDA), Pages 1-7, ACM, 2024.

  6. Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters

    Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks

    In: IEEE Transactions on Robotics (T-RO), Vol. 40, Pages 277-297, IEEE, 2024.

  7. Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    On the Benefit of Optimal Transport for Curriculum Reinforcement Learning

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 46, No. 11, Pages 7191-7204, IEEE Computer Society, 2024.

  8. Yang Weng; Sehwa Chun; Masaki Ohashi; Takumi Matsuda; Yuki Sekimori; Joni Pajarinen; Jan Peters; Toshihiro Maki

    Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning

    In: Journal of Field Robotics (JFR), Vol. 41, No. 6, Pages 1724-1743, Wiley Online Library, 2024.

  9. Daniel Palenicek; Florian Vogt; Joe Watson; Ingmar Posner; Jan Peters

    XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.25174, Pages 1-24, arXiv, 2025.

  10. Michael Drolet; Firas Al-Hafez; Aditya Bhatt; Jan Peters; Oleg Arenz

    Discrete Variational Autoencoding via Policy Search

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.24716, Pages 1-28, arXiv, 2025.

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