Simulation-Based Analysis of Topology Control Algorithms for Wireless Ad Hoc Networks. - Fabian Fuchs; Markus Völker; Dorothea Wagner (MedAlg, 2012)

On Local Broadcasting Schedules and CONGEST Algorithms in the SINR Model. - Fabian Fuchs; Dorothea Wagner (ALGOSENSORS, 2013)

Scalable similarity estimation in social networks: closeness, node labels, and random edge lengths. - Edith Cohen; Daniel Delling; Fabian Fuchs; Andrew V. Goldberg; Moisés Goldszmidt; Renato F. Werneck (COSN, 2013)

Distributed Algorithms for Scheduling in Wireless Networks. - Fabian Fuchs (Joint Workshop of the German Research Training Groups in Computer Science, 2014)

Local Broadcasting with Arbitrary Transmission Power in the SINR Model. - Fabian Fuchs; Dorothea Wagner (SIROCCO, 2014)

Arbitrary Transmission Power in the SINR Model: Local Broadcasting, Coloring and MIS. - Fabian Fuchs; Dorothea Wagner (CoRR, 2014)

Brief Announcement: Fast and Simple Node Coloring in the SINR Model. - Fabian Fuchs (PODC, 2015)

Simple Distributed Δ + 1 Coloring in the SINR Model. - Fabian Fuchs; Roman Prutkin (SIROCCO, 2015)

Simple Distributed Delta + 1 Coloring in the SINR Model. - Fabian Fuchs; Roman Prutkin (CoRR, 2015)

On the Distributed Computation of Fractional Connected Dominating Set Packings. - Fabian Fuchs; Matthias Wolf 004 (CoRR, 2015)

Algorithms for Efficient Communication in Wireless Sensor Networks - Distributed Node Coloring and its Application in the SINR Model. - Fabian Fuchs (2015)

Experimental Evaluation of Distributed Node Coloring Algorithms for Wireless Networks. - Fabian Fuchs (ALENEX, 2016)

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking. - Oliver Groth; Fabian B. Fuchs; Ingmar Posner; Andrea Vedaldi (ECCV (1), 2018)

Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing. - Fabian B. Fuchs; Oliver Groth; Adam R. Kosiorek; Alex Bewley; Markus Wulfmeier; Andrea Vedaldi; Ingmar Posner (CoRR, 2018)

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. - Fabian B. Fuchs; Oliver Groth; Adam R. Kosiorek; Alex Bewley; Markus Wulfmeier; Andrea Vedaldi; Ingmar Posner (BMVC, 2019)

On the Limitations of Representing Functions on Sets. - Edward Wagstaff; Fabian Fuchs; Martin Engelcke; Ingmar Posner; Michael A. Osborne (ICML, 2019)

End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning. - Fabian B. Fuchs; Adam R. Kosiorek; Li Sun 005; Oiwi Parker Jones; Ingmar Posner (CoRR, 2019)

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks. - Fabian Fuchs; Daniel E. Worrall; Volker Fischer 003; Max Welling (NeurIPS, 2020)

Iterative SE(3)-Transformers. - Fabian B. Fuchs; Edward Wagstaff; Justas Dauparas; Ingmar Posner (GSI, 2021)

E(n) Equivariant Normalizing Flows. - Victor Garcia Satorras; Emiel Hoogeboom; Fabian Fuchs; Ingmar Posner; Max Welling (NeurIPS, 2021)

E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. - Victor Garcia Satorras; Emiel Hoogeboom; Fabian B. Fuchs; Ingmar Posner; Max Welling (CoRR, 2021)

Equilibrium aggregation: encoding sets via optimization. - Sergey Bartunov; Fabian B. Fuchs; Timothy P. Lillicrap (UAI, 2022)

Universal Approximation of Functions on Sets. - Edward Wagstaff; Fabian B. Fuchs; Martin Engelcke; Michael A. Osborne; Ingmar Posner (J. Mach. Learn. Res., 2022)

Foundation Models For Seismic Data Processing: An Extensive Review. - Fabian Fuchs; Mario Ruben Fernandez; Norman Ettrich; Janis Keuper (CoRR, 2025)