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)

pLSTM: parallelizable Linear Source Transition Mark networks. - Korbinian Pöppel; Richard Freinschlag; Thomas Schmied; Wei Lin 019; Sepp Hochreiter (CoRR, 2025)