Maximilian Beck

According to our database, Maximilian Beck authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Sepp Hochreiter

CoRR, March, 2025

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

Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M. Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter

CoRR, March, 2025

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

Korbinian Pöppel, Maximilian Beck, Sepp Hochreiter

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Vision-LSTM: xLSTM as Generic Vision Backbone.

Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

FlashRNN: Optimizing Traditional RNNs on Modern Hardware.

Korbinian Pöppel, Maximilian Beck, Sepp Hochreiter

CoRR, 2024

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks.

Thomas Schmied, Thomas Adler, Vihang Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter

CoRR, 2024

xLSTM: Extended Long Short-Term Memory.

Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Artificial Intelligence for Cybersecurity.

Christof Ebert, Maximilian Beck

IEEE Softw., 2023

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation.

Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Few-Shot Learning by Dimensionality Reduction in Gradient Space.

Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner

Proceedings of the Conference on Lifelong Learning Agents, 2022