Interaktives Maschinelles Lernen

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1. Devansh Srivastav; Thomas Kaltbach; Ahmer Akhtar Mughal; Nischal Giriyan; Moaz Bin Younus; Tobias Jungbluth; Jochen Britz; Jan Alexandersson; Maurice Rekrut

   Mindful Mobility: EEG-Based Brain-Computer Interaction for Elevator Control Using Muse Headset

   In: Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024). International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI-2024), November 27-30, Ulster University, Belfast, United Kingdom, Springer, 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. 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.

4. Hoai-Chau Tran; Ho Minh Duy Nguyen; Duy M. Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Zou; Binh T. Nguyen; Mathias Niepert

   Accelerating Transformers with Spectrum-Preserving Token Merging

   In: The Thirty-Eighth Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), December 10-15, Canada, JMLR.org, 2024.

5. Ho Minh Duy Nguyen; An T. Le; Trung Q. Nguyen; Nghiem T. Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

   Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

   In: The 16th Asian Conference on Machine Learning. Asian Conference on Machine Learning (ACML-2024), December 5-8, Proceedings of Machine Learning Research, 2024.

6. Hamed Tabrizchi; Jafar Razmara; Amirhosein Mosavi

   Thermal prediction for energy management of clouds using a hybrid model based on CNN and stacking multi-layer bi-directional LSTM

   In: Energy Reports, Vol. 9, Pages 2253-2268, Elsevier, 12/2023.

7. Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

   LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

   In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), December 10-16, USA, Advances in Neural Information Processing Systems, 12/2023.

8. Ho Minh Duy Nguyen; Tan Pham; Nghiem Tuong Diep; Nghi Phan; Quang Pham; Vinh Tong; Binh T. Nguyen; Ngan Hoang Le; Nhat Ho; Pengtao Xie; Daniel Sonntag; Mathias Niepert

   On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation

   In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models, December 10-16, Advances in Neural Information Processing Systems, 12/2023.

9. Christoph Albert Johns; Michael Barz; Daniel Sonntag

   Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models

   In: Dietmar Seipel; Alexander Steen (Hrsg.). KI 2023: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2023), Berlin, Germany, Pages 75-89, ISBN 978-3-031-42608-7, Springer Nature Switzerland, Cham, 9/2023.

10. Hannes Kath; Bengt Lüers; Thiago S. Gouvêa; Daniel Sonntag

    Lost in Dialogue: A Review and Categorisation of Current Dialogue System Approaches and Technical Solutions

    In: Dietmar Seipel; Alexander Steen (Hrsg.). KI 2023: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2023), 46th German Conference on AI, Berlin, Germany, September 26–29, 2023, Proceedings, located at 46th German Conference on AI, September 26-29, Berlin, Germany, Pages 98-113, Lecture Notes in Artificial Intelligence (LNAI), Vol. 14236, ISBN 978-3-031-42607-0, Springer, Heidelberg, 9/2023.

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