Adler, Thomas

9 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

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

NeurIPS 2023 Semantic HELM: A Human-Readable Memory for Reinforcement Learning Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

CoLLAs 2022 Few-Shot Learning by Dimensionality Reduction in Gradient Space Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner

NeurIPSW 2022 Foundation Models for History Compression in Reinforcement Learning Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter

NeurIPSW 2022 Foundation Models for History Compression in Reinforcement Learning Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter

ICML 2022 History Compression via Language Models in Reinforcement Learning Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-Zadeh, Sepp Hochreiter

NeurIPSW 2022 Toward Semantic History Compression for Reinforcement Learning Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter

ICLR 2021 Hopfield Networks Is All You Need Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David Kreil, Michael K Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter