Sebastian Lehner

19 papers A* 5Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Derivation of characteristic physioclimatic regions through density-based spatial clustering of high-dimensional data. Environ. Model. Softw. Sebastian Lehner, Katharina Enigl, Matthias Schlögl
2025	J	`jnl`	Neural surrogates for designing gravitational wave detectors. CoRR Carlos Ruiz-Gonzalez, Sören Arlt, Sebastian Lehner, Arturs Berzins, Yehonathan Drori, Rana X. Adhikari, Johannes Brandstetter, Mario Krenn
2025	J	`jnl`	Rethinking Losses for Diffusion Bridge Samplers. CoRR Sebastian Sanokowski, Lukas Gruber, Christoph Bartmann, Sepp Hochreiter, Sebastian Lehner
2025	A*	`conf`	Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics. ICLR Sebastian Sanokowski, Wilhelm Franz Berghammer, Haoyu Peter Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner
2025	J	`jnl`	Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics. CoRR Sebastian Sanokowski, Wilhelm Berghammer, Martin Ennemoser, Haoyu Peter Wang, Sepp Hochreiter, Sebastian Lehner
2025	J	`jnl`	xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity. CoRR Maximilian Beck, Kajetan Schweighofer, Sebastian Böck, Sebastian Lehner, Sepp Hochreiter
2024	A*	`conf`	A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. ICML Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner
2024	J	`jnl`	A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. CoRR Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner
2023	A*	`conf`	Boundary Graph Neural Networks for 3D Simulations. AAAI Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
2023	J	`jnl`	Improved machine learning algorithm for predicting ground state properties. CoRR Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill
2023	A*	`conf`	Variational Annealing on Graphs for Combinatorial Optimization. NeurIPS Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
2023	J	`jnl`	Variational Annealing on Graphs for Combinatorial Optimization. CoRR Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
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
2022	J	`jnl`	Residual Neural Networks for the Prediction of Planetary Collision Outcomes. CoRR Philip M. Winter, Christoph Burger, Sebastian Lehner, Johannes Kofler, Thomas I. Maindl, Christoph M. Schäfer
2021	J	`jnl`	Boundary Graph Neural Networks for 3D Simulations. CoRR Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
2021	J	`jnl`	Learning 3D Granular Flow Simulations. CoRR Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter