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Maximilian Beck

MSc

  • Institute for Machine Learning
  • Emailmaximilian.beckjkuat
  • Overview
  • Network
  • Research output (9)
  • Activities (1)

Research output

  • 5 Preprint
  • 4 Conference proceedings

Research output per year

Research output per year

  • FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware

    Pöppel, K., Beck, M. & Hochreiter, S., 23 Apr 2025, (Accepted/In press) International Conference On Learning Representations (ICLR 2025).

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

  • Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels

    Beck, M., Pöppel, K., Lippe, P. & Hochreiter, S., 18 Mar 2025.

    Research output: Working paper and reports › Preprint

  • xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference

    Beck, M., Pöppel, K., Lippe, P., Kurle, R., Blies, P. M., Klambauer, G., Böck, S. & Hochreiter, S., 17 Mar 2025.

    Research output: Working paper and reports › Preprint

  • xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity

    Beck, M., Schweighofer, K., Böck, S., Lehner, S. & Hochreiter, S., 02 Oct 2025, 38 p. (arXiv.org; no. 2510.02228).

    Research output: Working paper and reports › Preprint

    Open Access
  • A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks

    Schmied, T., Adler, T., Patil, V., Beck, M., Pöppel, K., Brandstetter, J., Klambauer, G., Pascanu, R. & Hochreiter, S., Oct 2024, 33 p. (arXiv.org; no. 2410.22391).

    Research output: Working paper and reports › Preprint

View all 9 research outputs

Activities

  • 1 Poster presentation

Activities per year

  • xLSTM: Extended Long Short-Term Memory

    Beck, M. (Speaker), Pöppel, K. (Speaker), Spanring, M. (Speaker), Auer, A. (Speaker), Prudnikova, O. (Speaker), Kopp, M. (Speaker), Klambauer, G. (Speaker), Brandstetter, J. (Speaker) & Hochreiter, S. (Speaker)

    26 Jul 2024

    Activity: Talk or presentation › Poster presentation › science-to-science

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