Implicit recurrent networks: A novel approach to stationary input processing with recurrent neural networks in deep learning. - Sebastian Sanokowski (CoRR, 2020)

Variational Annealing on Graphs for Combinatorial Optimization. - Sebastian Sanokowski; Wilhelm Berghammer; Sepp Hochreiter; Sebastian Lehner (NeurIPS, 2023)

A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. - Sebastian Sanokowski; Sepp Hochreiter; Sebastian Lehner (ICML, 2024)

Geometry-Informed Neural Networks. - Arturs Berzins; Andreas Radler; Sebastian Sanokowski; Sepp Hochreiter; Johannes Brandstetter (CoRR, 2024)

Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics. - Sebastian Sanokowski; Wilhelm Franz Berghammer; Haoyu Peter Wang; Martin Ennemoser; Sepp Hochreiter; Sebastian Lehner (ICLR, 2025)

Rethinking Losses for Diffusion Bridge Samplers. - Sebastian Sanokowski; Lukas Gruber; Christoph Bartmann; Sepp Hochreiter; Sebastian Lehner (CoRR, 2025)