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Wilhelm Franz Berghammer

2 accepted papers

2025

Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics

ICLR 2025poster

Learning to sample from complex unnormalized distributions over discrete domains emerged as a promising research direction with applications in statistical physics, variational inference, and combinatorial optimization. Recent work has demonstrated the potential of diffusion models in this domain. H…

Cited by 2SourcePDFScholar
2023

Variational Annealing on Graphs for Combinatorial Optimization

NeurIPS 2023poster

Several recent unsupervised learning methods use probabilistic approaches to solve combinatorial optimization (CO) problems based on the assumption of statistically independent solution variables. We demonstrate that this assumption imposes performance limitations in particular on difficult problem…