Sebastian Sanokowski

11 papers A* 4Journal 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Diffusion Model Framework for Maximum Entropy Reinforcement Learning.
CoRR
Sebastian Sanokowski, Kaustubh Patil, Alois Knoll
2025 A* conf
Geometry-Informed Neural Networks.
ICML
Arturs Berzins, Andreas Radler, Eric Volkmann, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter
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
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
2024 J jnl
Geometry-Informed Neural Networks.
CoRR
Arturs Berzins, Andreas Radler, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter
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
2020 J jnl
Implicit recurrent networks: A novel approach to stationary input processing with recurrent neural networks in deep learning.
CoRR
Sebastian Sanokowski