Lehner, Sebastian

8 publications

NeurIPS 2025 Rethinking Losses for Diffusion Bridge Samplers Sebastian Sanokowski, Lukas Gruber, Christoph Bartmann, Sepp Hochreiter, Sebastian Lehner
ICLRW 2025 Rethinking the Training of Diffusion Bridge Samplers: Losses and Exploration Sebastian Sanokowski, Christoph Bartmann, Lukas Gruber, Sepp Hochreiter, Sebastian Lehner
ICLR 2025 Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics Sebastian Sanokowski, Wilhelm Franz Berghammer, Haoyu Peter Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner
ICML 2024 A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner
AAAI 2023 Boundary Graph Neural Networks for 3D Simulations Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
NeurIPS 2023 Variational Annealing on Graphs for Combinatorial Optimization Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
CoLLAs 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
ICML 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