Learning to Modulate pre-trained Models in RL

Author(s):	Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
Published:	Workshop on Reincarnating Reinforcement Learning at ICLR 2023, 2023 PDF, opens an external URL in a new window

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation

Author(s):	Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard A. Moser, Sergei Pereverzyev, Sepp Hochreiter, Werner Zellinger
Published:	International Conference On Learning Representations (ICLR) 2023 PDF, opens an external URL in a new window

Quantification of Uncertainty with Adversarial Models

Author(s):	Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter
Published:	arXiv:2307.03217v1 https://arxiv.org/abs/2307.03217, opens an external URL in a new window

Semantic HELM: An Interpretable Memory for Reinforcement Learning

Author(s):	Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
Published:	arXiv:2306.09312 https://arxiv.org/abs/2306.09312, opens an external URL in a new window

Context-enriched molecule representations improve few-shot drug discovery

Author(s):	Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
Published:	arXiv:2305.09481 https://arxiv.org/abs/2305.09481, opens an external URL in a new window

Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget

Author(s):	Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter
Published:	arXiv:2304.10520 https://arxiv.org/abs/2304.10520, opens an external URL in a new window

Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

Author(s):	Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer
Published:	arXiv:2303.03363 https://arxiv.org/abs/2303.03363, opens an external URL in a new window

G-Signatures: Global Graph Propagation With Randomized Signatures

Author(s):	Bernhard Schäfl, Lukas Gruber, Johannes Brandstetter, Sepp Hochreiter
Published:	arXiv:2302.08811 https://arxiv.org/abs/2302.08811, opens an external URL in a new window