Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2410.22391
Cited By
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
21 February 2025
Thomas Schmied
Thomas Adler
Vihang Patil
M. Beck
Korbinian Poppel
Johannes Brandstetter
G. Klambauer
Razvan Pascanu
Sepp Hochreiter
Re-assign community
ArXiv
PDF
HTML
Papers citing
"A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks"
4 / 4 papers shown
Title
Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
M. Beck
Korbinian Poppel
Phillip Lippe
Sepp Hochreiter
53
1
0
18 Mar 2025
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
M. Beck
Korbinian Poppel
Phillip Lippe
Richard Kurle
P. Blies
G. Klambauer
Sebastian Böck
Sepp Hochreiter
LRM
38
0
0
17 Mar 2025
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
Faezeh Sarlakifar
Mohammadreza Mohammadzadeh Asl
Sajjad Rezvani Khaledi
Armin Salimi-Badr
AIFin
32
0
0
12 Mar 2025
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
Niklas Schmidinger
Lisa Schneckenreiter
Philipp Seidl
Johannes Schimunek
Pieter-Jan Hoedt
Johannes Brandstetter
Andreas Mayr
Sohvi Luukkonen
Sepp Hochreiter
G. Klambauer
MedIm
45
4
0
06 Nov 2024
1