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Publications

Displaying results 351 to 360 of 13872.
  1. Hoai-Chau Tran; Ho Minh Duy Nguyen; Manh-Duy Nguyen; Ngan Hoang Le; Binh T. Nguyen

    Energy Minimizing-based Token Merging for Accelerating Transformers

    In: International Conference on Learning Representations (ICLR), Practical ML for Low Resource Settings Workshop. International Conference on Learning Representations (ICLR), May 11-12, JMLR.org, 2024.

  2. Ho Minh Duy Nguyen; Nina Lukashina; Tai Nguyen; An T. Le; TrungTin Nguyen; Nhat Ho; Jan Peters; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert

    Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

    In: Proceedings of the 41st International Conference on Machine Learning. International Conference on Machine Learning (ICML), July 21-27, Austria, JMLR.org, 2024.

  3. Sergio Genovesi; Martin Haimerl; Iris Merget; Samantha Morgaine Prange; Otto Obert; Susanna Wolf; Jens Ziehn

    Evaluating Dimensions of AI Transparency: A Comparative Study of Standards, Guidelines and the EU AI Act

    In: Rebekka Görge; Elena Haedecke; Maximilian Poretschkin; Anna Schmitz (Hrsg.). Symposium on Scaling AI Assessments (SAIA 2024). Symposium on Scaling AI Assessments (SAIA-2024), September 30 - October 1, Cologne, Germany, Pages 10:1-10:17, Open Access Series in Informatics (OASICS), Vol. 126, ISBN ISSN 2190-6807, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 1/2025.

  4. Benchmarking Different QP Formulations and Solvers for Dynamic Quadrupedal Walking

    In: 2025 IEEE International Conference on Robotics and Automation (ICRA). IEEE International Conference on Robotics and Automation (ICRA-2025), IEEE, 2025.

  5. Pascal Grittmann; Ömercan Yazici; Iliyan Georgiev; Philipp Slusallek

    Efficiency-aware multiple importance sampling for bidirectional rendering algorithms

    In: ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022). ACM Siggraph (Siggraph-2022), August 8-11, Vancouver, Canada, Online, 7/2022.

  6. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  7. WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  8. Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance

    In: Engineering Applications of Artificial Intelligence, Vol. 145, Page 110152, Elsevier, 2025.

  9. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Anupam Sanghi; Carsten Binnig

    Automating Enterprise Data Engineering with LLMs

    In: NeurIPS 2024 Third Table Representation Learning Workshop. Table Representation Learning Workshop (TRL), located at NeurIPS 2024, December 14, NeurIPS, 2024.

  10. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Matthias Urban; Anupam Sanghi; Carsten Binnig

    LLMs for Data Engineering on Enterprise Data

    In: Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, VLDB 2024. International Workshop on Tabular Data Analysis (TaDA), VLDB.org, 2024.