Thomas Schmied
Scholar

Thomas Schmied

Google Scholar ID: rEfdigIAAAAJ
PhD Student, Institute for Machine Learning, Johannes Kepler University Linz
Deep LearningReinforcement LearningNatural Language ProcessingContinual Learning
Google Scholar↗
Citations & Impact
All-time
Citations
144
 
H-index
8
 
i10-index
8
 
Publications
13
 
Co-authors
18
list available
Contact
No contact links provided.
Publications
6 items
Effective Distillation to Hybrid xLSTM Architectures
2026
Cited
0
pLSTM: parallelizable Linear Source Transition Mark networks
2025
Cited
0
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
2025
Cited
0
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
arXiv.org · 2024
Cited
0
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
arXiv.org · 2024
Cited
9
Parameter Efficient Fine-tuning via Explained Variance Adaptation
2024
Cited
4
Resume (English only)
Co-authors
18 total
Sepp Hochreiter
Sepp Hochreiter
Institute for Machine Learning, Johannes Kepler University Linz
Fabian Paischer
Fabian Paischer
Senior Scientist, Institute for Machine Learning, ELLIS Unit / University Linz, EmmiAI
Razvan Pascanu
Razvan Pascanu
Google DeepMind
Co-author 4
Co-author 4
Co-author 5
Co-author 5
Benedikt Alkin
Benedikt Alkin
Emmi AI
Korbinian Pöppel
Korbinian Pöppel
ELLIS Unit Linz, Johannes-Kepler University Linz
Co-author 8
Co-author 8