Sebastian Lehner

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Combinatorial Optimization

Diffusion Model

Top Venues

Publications

Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. CoRR (2024)
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
Boundary Graph Neural Networks for 3D Simulations. AAAI (2023)
Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. CoRR (2023)
Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
Variational Annealing on Graphs for Combinatorial Optimization. CoRR (2023)
Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
Variational Annealing on Graphs for Combinatorial Optimization. NeurIPS (2023)
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)
Fabian Paischer, Thomas Adler, Vihang P. Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-Zadeh, Sepp Hochreiter
History Compression via Language Models in Reinforcement Learning. ICML (2022)
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 (2022)
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. CoRR (2022)
Fabian Paischer, Thomas Adler, Vihang P. Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter
History Compression via Language Models in Reinforcement Learning. CoRR (2022)
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
Learning 3D Granular Flow Simulations. CoRR (2021)
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
Boundary Graph Neural Networks for 3D Simulations. CoRR (2021)