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Schmied, Thomas
13 publications
ICML
2025
A Large Recurrent Action Model: xLSTM Enables Fast Inference for Robotics Tasks
Thomas Schmied
,
Thomas Adler
,
Vihang Prakash Patil
,
Maximilian Beck
,
Korbinian Pöppel
,
Johannes Brandstetter
,
Günter Klambauer
,
Razvan Pascanu
,
Sepp Hochreiter
NeurIPS
2025
Parameter Efficient Fine-Tuning via Explained Variance Adaptation
Fabian Paischer
,
Lukas Hauzenberger
,
Thomas Schmied
,
Benedikt Alkin
,
Marc Peter Deisenroth
,
Sepp Hochreiter
NeurIPS
2025
pLSTM: Parallelizable Linear Source Transition Mark Networks
Korbinian Pöppel
,
Richard Freinschlag
,
Thomas Schmied
,
Wei Lin
,
Sepp Hochreiter
NeurIPSW
2024
A Large Recurrent Action Model: xLSTM Enables Fast Inference for Robotics Tasks
Thomas Schmied
,
Thomas Adler
,
Vihang Prakash Patil
,
Maximilian Beck
,
Korbinian Pöppel
,
Johannes Brandstetter
,
Günter Klambauer
,
Razvan Pascanu
,
Sepp Hochreiter
NeurIPSW
2024
One Initialization to Rule Them All: Fine-Tuning via Explained Variance Adaptation
Fabian Paischer
,
Lukas Hauzenberger
,
Thomas Schmied
,
Benedikt Alkin
,
Marc Peter Deisenroth
,
Sepp Hochreiter
NeurIPSW
2024
One Initialization to Rule Them All: Fine-Tuning via Explained Variance Adaptation
Fabian Paischer
,
Lukas Hauzenberger
,
Thomas Schmied
,
Benedikt Alkin
,
Marc Peter Deisenroth
,
Sepp Hochreiter
NeurIPS
2023
Learning to Modulate Pre-Trained Models in RL
Thomas Schmied
,
Markus Hofmarcher
,
Fabian Paischer
,
Razvan Pascanu
,
Sepp Hochreiter
ICLRW
2023
Learning to Modulate Pre-Trained Models in RL
Thomas Schmied
,
Markus Hofmarcher
,
Fabian Paischer
,
Razvan Pascanu
,
Sepp Hochreiter
NeurIPSW
2022
InfODist: Online Distillation with Informative Rewards Improves Generalization in Curriculum Learning
Rahul Siripurapu
,
Vihang Prakash Patil
,
Kajetan Schweighofer
,
Marius-Constantin Dinu
,
Thomas Schmied
,
Luis Eduardo Ferro Diez
,
Markus Holzleitner
,
Hamid Eghbal-zadeh
,
Michael K. Kopp
,
Sepp Hochreiter
NeurIPSW
2022
InfODist: Online Distillation with Informative Rewards Improves Generalization in Curriculum Learning
Rahul Siripurapu
,
Vihang Prakash Patil
,
Kajetan Schweighofer
,
Marius-Constantin Dinu
,
Thomas Schmied
,
Luis Eduardo Ferro Diez
,
Markus Holzleitner
,
Hamid Eghbal-zadeh
,
Michael K Kopp
,
Sepp Hochreiter
CoLLAs
2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
Christian Alexander Steinparz
,
Thomas Schmied
,
Fabian Paischer
,
Marius-constantin Dinu
,
Vihang Prakash Patil
,
Angela Bitto-nemling
,
Hamid Eghbal-zadeh
,
Sepp Hochreiter
NeurIPSW
2021
Controllable Network Data Balancing with GANs
Fares Meghdouri
,
Thomas Schmied
,
Thomas Gärtner
,
Tanja Zseby
NeurIPSW
2021
Fast and Data-Efficient Training of Rainbow: An Experimental Study on Atari
Dominik Schmidt
,
Thomas Schmied