Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach. - Hatem Khalloof; Phil Ostheimer; Wilfried Jakob; Shadi Shahoud; Clemens Düpmeier; Veit Hagenmeyer (IDEAL (1), 2019)

A Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics. - Hatem Khalloof; Phil Ostheimer; Wilfried Jakob; Shadi Shahoud; Clemens Düpmeier; Veit Hagenmeyer (PPAM (1), 2019)

Sentient destination prediction. - Antonios Karatzoglou; Jan Ebbing; Phil Ostheimer; Wenlan Hua; Michael Beigl (User Model. User Adapt. Interact., 2020)

A Call for Standardization and Validation of Text Style Transfer Evaluation. - Phil Ostheimer; Mayank Kumar Nagda; Marius Kloft; Sophie Fellenz (ACL (Findings), 2023)

Text Style Transfer Evaluation Using Large Language Models. - Phil Sidney Ostheimer; Mayank Kumar Nagda; Marius Kloft; Sophie Fellenz (LREC/COLING, 2024)

SetPINNs: Set-based Physics-informed Neural Networks. - Mayank Nagda; Phil Ostheimer; Thomas Specht; Frank Rhein; Fabian Jirasek; Marius Kloft; Sophie Fellenz (CoRR, 2024)

BBPOS: BERT-based Part-of-Speech Tagging for Uzbek. - Latofat Bobojonova; Arofat Akhundjanova; Phil Sidney Ostheimer; Sophie Fellenz (COLING Workshops, 2025)

Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors. - Mayank Nagda; Phil Ostheimer; Sophie Fellenz (NAACL (Findings), 2025)

Challenging Assumptions in Learning Generic Text Style Embeddings. - Phil Ostheimer; Marius Kloft; Sophie Fellenz (CoRR, 2025)

Sparse Data Generation Using Diffusion Models. - Phil Ostheimer; Mayank Nagda; Marius Kloft; Sophie Fellenz (CoRR, 2025)