A Multi-dimensional Distributed Array Abstraction for PGAS. - Tobias Fuchs; Karl Fürlinger (HPCC/SmartCity/DSS, 2016)

DASH: A C++ PGAS Library for Distributed Data Structures and Parallel Algorithms. - Karl Fürlinger; Tobias Fuchs; Roger Kowalewski (HPCC/SmartCity/DSS, 2016)

Effective use of the PGAS Paradigm: Driving Transformations and Self-Adaptive Behavior in DASH-Applications. - Kamran Idrees; Tobias Fuchs; Colin W. Glass (CoRR, 2016)

Expressing and Exploiting Multi-Dimensional Locality in DASH. - Tobias Fuchs; Karl Fürlinger (Software for Exascale Computing, 2016)

Tool Support for Developing DASH Applications. - Denis Hünich; Andreas Knüpfer; Sebastian Oeste; Karl Fürlinger; Tobias Fuchs (Software for Exascale Computing, 2016)

Runtime Support for Distributed Dynamic Locality. - Tobias Fuchs; Karl Fürlinger (Euro-Par Workshops, 2017)

Investigating the performance and productivity of DASH using the Cowichan problems. - Karl Fürlinger; Roger Kowalewski; Tobias Fuchs; Benedikt Lehmann (HPC Asia Workshops, 2018)

Utilizing Heterogeneous Memory Hierarchies in the PGAS Model. - Roger Kowalewski; Tobias Fuchs; Karl Fürlinger; Tobias Guggemos (PDP, 2018)

A Portable Multidimensional Coarray for C++. - Felix MoBbauer; Roger Kowalewski; Tobias Fuchs; Karl Fürlinger (PDP, 2018)

Design of an Algorithm for Automated, Computer-Guided PASI Measurements by Digital Image Analysis. - Christine Fink; Tobias Fuchs; Alexander Enk; Holger A. Haenssle (J. Medical Syst., 2018)

DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space. - Karl Fürlinger; José Gracia; Andreas Knüpfer; Tobias Fuchs; Denis Hünich; Pascal Jungblut; Roger Kowalewski; Joseph Schuchart (Software for Exascale Computing, 2020)

Impact of Hint Content on Performance and Learning: A Study with Primary School Children in a Scratch Course. - Luisa Greifenstein; Markus Brune; Tobias Fuchs; Ute Heuer; Gordon Fraser 001 (WiPSCE, 2023)

Codes and Ciphers: A Digital Escape Room for Secondary Schools (Practical Report). - Wolfgang Pfeffer; Tobias Fuchs; Luisa Greifenstein; Ute Heuer (WiPSCE, 2024)

Uncertainty-Aware Partial-Label Learning. - Tobias Fuchs; Florian Kalinke; Klemens Böhm (CoRR, 2024)

Milling using two mechatronically coupled robots. - Max Goebels; Jan Baumgärtner; Tobias Fuchs; Edgar Mühlbeier; Alexander Puchta; Jürgen Fleischer (CoRR, 2024)

Partial-Label Learning with Conformal Candidate Cleaning. - Tobias Fuchs; Florian Kalinke (UAI, 2025)

Partial-Label Learning with a Reject Option. - Tobias Fuchs; Florian Kalinke; Klemens Böhm (Trans. Mach. Learn. Res., 2025)

Robust partial-label learning by leveraging class activation values. - Tobias Fuchs; Florian Kalinke (Mach. Learn., 2025)

Active Learning for SAT Solver Benchmarking. - Tobias Fuchs; Jakob Bach; Markus Iser (J. Autom. Reason., 2025)