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Sebastian Lehner
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2020 – today
- 2024
- [c5]Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner:
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. ICML 2024 - [i8]Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner:
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. CoRR abs/2406.01661 (2024) - 2023
- [c4]Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter:
Boundary Graph Neural Networks for 3D Simulations. AAAI 2023: 9099-9107 - [c3]Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner:
Variational Annealing on Graphs for Combinatorial Optimization. NeurIPS 2023 - [i7]Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill:
Improved machine learning algorithm for predicting ground state properties. CoRR abs/2301.13169 (2023) - [i6]Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner:
Variational Annealing on Graphs for Combinatorial Optimization. CoRR abs/2311.14156 (2023) - 2022
- [c2]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:
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoLLAs 2022: 1043-1064 - [c1]Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-Zadeh, Sepp Hochreiter:
History Compression via Language Models in Reinforcement Learning. ICML 2022: 17156-17185 - [i5]Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter:
History Compression via Language Models in Reinforcement Learning. CoRR abs/2205.12258 (2022) - [i4]Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoRR abs/2206.03483 (2022) - [i3]Philip M. Winter, Christoph Burger, Sebastian Lehner, Johannes Kofler, Thomas I. Maindl, Christoph M. Schäfer:
Residual Neural Networks for the Prediction of Planetary Collision Outcomes. CoRR abs/2210.04248 (2022) - 2021
- [i2]Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter:
Learning 3D Granular Flow Simulations. CoRR abs/2105.01636 (2021) - [i1]Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter:
Boundary Graph Neural Networks for 3D Simulations. CoRR abs/2106.11299 (2021)
Coauthor Index
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