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Publikationen

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  1. Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers

    In: Proceedings of the Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, AZ, USA, Pages 6955-6966, ISBN 979-8-3315-1083-1, IEEE, 2/2025.

  2. Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2025), International Joint Conference on Neural Networks, June 30 - July 5, Rome, Italy, IEEE, 2025.

  3. When 512x512 Is Not Enough: Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution

    In: IEEE International Conference on Image Processing. IEEE International Conference on Image Processing (ICIP-2025), September 14-17, Anchorage, Alaska, USA, IEEE, 2025.

  4. Unlocking Dataset Distillation with Diffusion Models

    In: NeurIPS. Neural Information Processing Systems (NeurIPS-2025), December 2-7, San Diego, USA, NeurIPS, 2025.

  5. Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection

    In: Association for Computing Machinery (ACM) (Hrsg.). Proceedings of the 5th ACM International Conference on AI in Finance. International Conference on AI in Finance (ICAIF-2024), ICAIF '24, located at ICAIF, November 14-17, Brooklyn, New York, New York, USA, Pages 804-812, Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24), No. 9, ISBN 9798400710810, Association for Computing Machinery, New York, NY, USA, 11/2024.

  6. Diffusion Models, Image Super-Resolution, and Everything: A Survey

    In: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 0, Pages 1-21, IEEE, 2024.