Sebastian Sanokowski

According to our database, Sebastian Sanokowski authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Diffusion Model Framework for Maximum Entropy Reinforcement Learning.

Sebastian Sanokowski, Kaustubh Patil, Alois Knoll

CoRR, December, 2025

Rethinking Losses for Diffusion Bridge Samplers.

Sebastian Sanokowski, Lukas Gruber, Christoph Bartmann, Sepp Hochreiter, Sebastian Lehner

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Geometry-Informed Neural Networks.

Arturs Berzins, Andreas Radler, Eric Volkmann, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics.

Sebastian Sanokowski, Wilhelm Franz Berghammer, Haoyu Peter Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Geometry-Informed Neural Networks.

Arturs Berzins, Andreas Radler, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter

CoRR, 2024

A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization.

Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Variational Annealing on Graphs for Combinatorial Optimization.

Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Implicit recurrent networks: A novel approach to stationary input processing with recurrent neural networks in deep learning.

Sebastian Sanokowski

CoRR, 2020