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; et al. (CoLLAs, 2022)

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 (ICLR, 2023)

Artificial Intelligence for Cybersecurity. - Christof Ebert; Maximilian Beck (IEEE Softw., 2023)

xLSTM: Extended Long Short-Term Memory. - Maximilian Beck; Korbinian Pöppel; Markus Spanring; Andreas Auer; Oleksandra Prudnikova; Michael Kopp 001; Günter Klambauer; Johannes Brandstetter; Sepp Hochreiter (NeurIPS, 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)

FlashRNN: Optimizing Traditional RNNs on Modern Hardware. - Korbinian Pöppel; Maximilian Beck; Sepp Hochreiter (CoRR, 2024)

Vision-LSTM: xLSTM as Generic Vision Backbone. - Benedikt Alkin; Maximilian Beck; Korbinian Pöppel; Sepp Hochreiter; Johannes Brandstetter (ICLR, 2025)

FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware. - Korbinian Pöppel; Maximilian Beck; Sepp Hochreiter (ICLR, 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, 2025)

Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels. - Maximilian Beck; Korbinian Pöppel; Phillip Lippe; Sepp Hochreiter (CoRR, 2025)