Thomas Adler

According to our database, Thomas Adler authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

SITTA: A Semantic Image-Text Alignment for Image Captioning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

CoRR, 2023

Semantic HELM: An Interpretable Memory for Reinforcement Learning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

CoRR, 2023

Semantic HELM: A Human-Readable Memory for Reinforcement Learning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Hopfield Networks is All You Need.

Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David P. Kreil, Michael K. Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Cross-Domain Few-Shot Learning by Representation Fusion.

Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David P. Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter

CoRR, 2020

2019

Quantum Optical Experiments Modeled by Long Short-Term Memory.

Thomas Adler, Manuel Erhard, Mario Krenn, Johannes Brandstetter, Johannes Kofler, Sepp Hochreiter

CoRR, 2019

Patch Refinement - Localized 3D Object Detection.

Johannes Lehner, Andreas Mitterecker, Thomas Adler, Markus Hofmarcher, Bernhard Nessler, Sepp Hochreiter

CoRR, 2019