Markus Holzleitner

According to our database, Markus Holzleitner authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

On regularized polynomial functional regression.

Markus Holzleitner, Sergei V. Pereverzyev

J. Complex., 2024

Multiparameter regularization and aggregation in the context of polynomial functional regression.

Elke Ruth Gizewski, Markus Holzleitner, Lukas Mayer-Suess, Sergiy Pereverzyev Jr., Sergei V. Pereverzyev

CoRR, 2024

Universal Physics Transformers.

Benedikt Alkin, Andreas Fürst, Simon Schmid, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter

CoRR, 2024

SymbolicAI: A framework for logic-based approaches combining generative models and solvers.

Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter

CoRR, 2024

Overcoming Saturation in Density Ratio Estimation by Iterated Regularization.

Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Domain Generalization by Functional Regression.

Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger

CoRR, 2023

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation.

Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger

Proceedings of the Eleventh International Conference on Learning Representations, 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

Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER.

Markus Holzleitner, Lukas Gruber, José Antonio Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter

Trans. Large Scale Data Knowl. Centered Syst., 2021

MC-LSTM: Mass-Conserving LSTM.

Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer

Proceedings of the 38th International Conference on Machine Learning, 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

Hopfield Networks is All You Need.

Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlovic, Geir Kjetil Sandve, Victor Greiff, David P. Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

CoRR, 2020

Modern Hopfield Networks and Attention for Immune Repertoire Classification.

Michael Widrich, Bernhard Schäfl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020