Analyzing the reliability of communication between software entities using a 3D visualization of clustered graphs. - Dirk Zeckzer; Robert Kalcklösch; Leon Schröder; Hans Hagen; Timo Klein (SOFTVIS, 2008)

Neural Citation Recommendation: A Reproducibility Study. - Michael Färber 001; Timo Klein; Joan Sigloch (BIR@ECIR, 2020)

A Threat Model for Vehicular Fog Computing. - Timo Klein; Tanja Fenn; Anett Katzenbach; Heiner Teigeler; Sebastian Lins; Ali Sunyaev (IEEE Access, 2022)

Active Third-Person Imitation Learning. - Timo Klein; Susanna Weinberger; Adish Singla; Sebastian Tschiatschek (CoRR, 2023)

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. - Shengyi Huang; Quentin Gallouédec; Florian Felten; Antonin Raffin; Rousslan Fernand Julien Dossa; Yanxiao Zhao; Ryan Sullivan; Viktor Makoviychuk; Denys Makoviichuk; Mohamad H. Danesh; Cyril Roumégous; Jiayi Weng; et al. (CoRR, 2024)

Plasticity Loss in Deep Reinforcement Learning: A Survey. - Timo Klein; Lukas Miklautz; Kevin Sidak; Claudia Plant; Sebastian Tschiatschek (CoRR, 2024)

Breaking the Reclustering Barrier in Centroid-based Deep Clustering. - Lukas Miklautz; Timo Klein; Kevin Sidak; Collin Leiber; Thomas Lang; Andrii Shkabrii; Sebastian Tschiatschek; Claudia Plant (ICLR, 2025)