3 citations · 7 across the 17 of their papers we have counts for
4 papers · 1 filter
Benchmarking Music Generation Models and Metrics via Human Preference Studies
Florian Grötschla, Ahmet Solak, Luca A. Lanzendörfer +1
Recent advancements have brought generated music closer to human-created compositions, yet evaluating these models remains challenging. While human preference is the gold standard…
Benchmarking Positional Encodings for GNNs and Graph Transformers
Florian Grötschla, Jiaqing Xie, Roger Wattenhofer
Positional Encodings (PEs) are essential for injecting structural information into Graph Neural Networks (GNNs), particularly Graph Transformers, yet their empirical impact remains…
Next Level Message-Passing with Hierarchical Support Graphs
Carlos Vonessen, Florian Grötschla, Roger Wattenhofer
Message-Passing Neural Networks (MPNNs) are extensively employed in graph learning tasks but suffer from limitations such as the restricted scope of information exchange, by being…
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics
Stefan Künzli, Florian Grötschla, Joël Mathys +1
Simulating fluid dynamics is crucial for the design and development process, ranging from simple valves to complex turbomachinery. Accurately solving the underlying physical equati…