Markus Holzleitner

25 papers A* 7Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards regularized learning from functional data with covariate shift. CoRR Markus Holzleitner, Sergiy Pereverzyev Jr., Sergei V. Pereverzyev, Vaibhav Silmana, Sivananthan Sivananthan
2024	J	`jnl`	Multiparameter regularization and aggregation in the context of polynomial functional regression. CoRR Elke Ruth Gizewski, Markus Holzleitner, Lukas Mayer-Suess, Sergiy Pereverzyev Jr., Sergei V. Pereverzyev
2024	J	`jnl`	On regularized polynomial functional regression. J. Complex. Markus Holzleitner, Sergei V. Pereverzyev
2024	A*	`conf`	Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. ICML Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger
2024	J	`jnl`	Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. CoRR Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger
2024	—	`conf`	SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoLLAs Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter
2024	J	`jnl`	SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoRR Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter
2024	J	`jnl`	Universal Physics Transformers. CoRR Benedikt Alkin, Andreas Fürst, Simon Schmid, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter
2024	A*	`conf`	Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators. NeurIPS Benedikt Alkin, Andreas Fürst, Simon Schmid, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter
2023	A*	`conf`	Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR 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
2023	J	`jnl`	Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR 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
2023	J	`jnl`	Domain Generalization by Functional Regression. CoRR Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger
2023	J	`jnl`	On regularized polynomial functional regression. CoRR Markus Holzleitner, Sergei V. Pereverzyev
2022	—	`conf`	Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoLLAs 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
2022	J	`jnl`	Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoRR 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
2022	A*	`conf`	History Compression via Language Models in Reinforcement Learning. ICML Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	J	`jnl`	History Compression via Language Models in Reinforcement Learning. CoRR Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter
2021	J	`jnl`	Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. Trans. Large Scale Data Knowl. Centered Syst. Markus Holzleitner, Lukas Gruber, José Antonio Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter
2021	A*	`conf`	Hopfield Networks is All You Need. ICLR 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
2021	A*	`conf`	MC-LSTM: Mass-Conserving LSTM. ICML Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	MC-LSTM: Mass-Conserving LSTM. CoRR Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
2020	J	`jnl`	Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. CoRR Markus Holzleitner, Lukas Gruber, Jose A. Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter
2020	J	`jnl`	Hopfield Networks is All You Need. CoRR 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
2020	A*	`conf`	Modern Hopfield Networks and Attention for Immune Repertoire Classification. NeurIPS Michael Widrich, Bernhard Schäfl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
2020	J	`jnl`	Modern Hopfield Networks and Attention for Immune Repertoire Classification. CoRR Michael Widrich, Bernhard Schäfl, Hubert Ramsauer, Milena Pavlovic, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer