Korbinian Pöppel

According to our database, Korbinian Pöppel authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

pLSTM: parallelizable Linear Source Transition Mark networks.

Korbinian Pöppel, Richard Freinschlag, Thomas Schmied, Wei Lin, Sepp Hochreiter

CoRR, June, 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