Thomas Schmied

14 papers A* 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Effective Distillation to Hybrid xLSTM Architectures. CoRR Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied, Anamaria-Roberta Hartl, David Stap, Pieter-Jan Hoedt, Maximilian Beck, Sebastian Böck, Günter Klambauer, Sepp Hochreiter
2025	A*	`conf`	A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks. ICML Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter
2025	J	`jnl`	LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities. CoRR Thomas Schmied, Jörg Bornschein, Jordi Grau-Moya, Markus Wulfmeier, Razvan Pascanu
2025	J	`jnl`	pLSTM: parallelizable Linear Source Transition Mark networks. CoRR Korbinian Pöppel, Richard Freinschlag, Thomas Schmied, Wei Lin, Sepp Hochreiter
2024	J	`jnl`	A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks. CoRR Thomas Schmied, Thomas Adler, Vihang Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter
2024	J	`jnl`	One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation. CoRR Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter
2024	J	`jnl`	Retrieval-Augmented Decision Transformer: External Memory for In-context RL. CoRR Thomas Schmied, Fabian Paischer, Vihang Patil, Markus Hofmarcher, Razvan Pascanu, Sepp Hochreiter
2023	A*	`conf`	Learning to Modulate pre-trained Models in RL. NeurIPS Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
2023	J	`jnl`	Learning to Modulate pre-trained Models in RL. CoRR Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
2022	—	`conf`	Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. CoLLAs Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	J	`jnl`	Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning. CoRR Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
2021	J	`jnl`	Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari. CoRR Dominik Schmidt, Thomas Schmied
2021	—	`conf`	Towards a General Framework for ML-based Self-tuning Databases. EuroMLSys@EuroSys Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou
2020	J	`jnl`	Towards a General Framework for ML-based Self-tuning Databases. CoRR Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou