Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. - Moritz Neun; Christian Eichenberger; Henry Martin; Markus Spanring; Rahul Siripurapu; Daniel Springer; Leyan Deng; Chenwang Wu; Defu Lian; Min Zhou 006; Martin Lumiste; Andrei Ilie; et al. (NeurIPS (Competition and Demos), 2021)

Hierarchical Graph Structures for Congestion and ETA Prediction. - Florian Grötschla; Joël Mathys (CoRR, 2022)

Learning Graph Algorithms With Recurrent Graph Neural Networks. - Florian Grötschla; Joël Mathys; Roger Wattenhofer (CoRR, 2022)

SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics. - Stefan Künzli; Florian Grötschla; Joël Mathys; Roger Wattenhofer (LoG, 2023)

DISCO-10M: A Large-Scale Music Dataset. - Luca A. Lanzendörfer; Florian Grötschla; Emil Funke; Roger Wattenhofer (NeurIPS, 2023)

Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets. - Eren Akbiyik; Florian Grötschla; Beni Egressy; Roger Wattenhofer (CoRR, 2023)

SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning. - Julian Minder; Florian Grötschla; Joël Mathys; Roger Wattenhofer (CoRR, 2023)

Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing. - Joël Mathys; Florian Grötschla; Kalyan Varma Nadimpalli; Roger Wattenhofer (CoRR, 2023)

Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence. - Philip Jordan; Florian Grötschla; Flint Xiaofeng Fan; Roger Wattenhofer (AAMAS, 2024)

GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs. - Florian Grötschla; Joël Mathys; Christoffer Raun; Roger Wattenhofer (ECAI, 2024)

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs. - Florian Grötschla; Joël Mathys; Robert Veres; Roger Wattenhofer (ICLR, 2024)

Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks. - Florian Grötschla; Luca Strässle; Luca A. Lanzendörfer; Roger Wattenhofer (MuRS@RecSys, 2024)

AEye: A Visualization Tool for Image Datasets. - Florian Grötschla; Luca A. Lanzendörfer; Marco Calzavara; Roger Wattenhofer (IEEE VIS, 2024)

Next Level Message-Passing with Hierarchical Support Graphs. - Carlos Vonessen; Florian Grötschla; Roger Wattenhofer (CoRR, 2024)

Benchmarking GNNs Using Lightning Network Data. - Rainer Feichtinger; Florian Grötschla; Lioba Heimbach; Roger Wattenhofer (CoRR, 2024)

On the Lifecycle of a Lightning Network Payment Channel. - Florian Grötschla; Lioba Heimbach; Severin Richner; Roger Wattenhofer (CoRR, 2024)

SNAC: Multi-Scale Neural Audio Codec. - Hubert Siuzdak; Florian Grötschla; Luca A. Lanzendörfer (CoRR, 2024)

Benchmarking Positional Encodings for GNNs and Graph Transformers. - Florian Grötschla; Jiaqing Xie; Roger Wattenhofer (CoRR, 2024)

Audio Atlas: Visualizing and Exploring Audio Datasets. - Luca A. Lanzendörfer; Florian Grötschla; Uzeyir Valizada; Roger Wattenhofer (CoRR, 2024)

Benchmarking Music Generation Models and Metrics via Human Preference Studies. - Florian Grötschla; Ahmet Solak; Luca A. Lanzendörfer; Roger Wattenhofer (ICASSP, 2025)

Contrastive Lyrics Alignment with a Timestamp-Informed Loss. - Timon Kick; Florian Grötschla; Luca A. Lanzendörfer; Roger Wattenhofer (ICASSP, 2025)

High-Fidelity Music Vocoder using Neural Audio Codecs. - Luca A. Lanzendörfer; Florian Grötschla; Michael Ungersböck; Roger Wattenhofer (ICASSP, 2025)

Generating Vocals from Lyrics and Musical Accompaniment. - Georg Streich; Luca A. Lanzendörfer; Florian Grötschla; Roger Wattenhofer (ICASSP, 2025)

Universality Frontier for Asynchronous Cellular Automata. - Ivan Baburin; Matthew Cook; Florian Grötschla; Andreas Plesner; Roger Wattenhofer (MFCS, 2025)

Parametric Neural Amp Modeling with Active Learning. - Florian Grötschla; Luca A. Lanzendörfer; Longxiang Jiao; Roger Wattenhofer (CoRR, 2025)

MaskBeat: Loopable Drum Beat Generation. - Luca A. Lanzendörfer; Florian Grötschla; Karim Galal; Roger Wattenhofer (CoRR, 2025)

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs. - Florian Grötschla; Luis Müller; Jan Tönshoff; Mikhail Galkin 001; Bryan Perozzi (CoRR, 2025)