The Complexity of Routing with Few Collisions. - Till Fluschnik; Marco Morik; Manuel Sorge (FCT, 2017)

Listing All Maximal k-Plexes in Temporal Graphs. - Matthias Bentert; Anne-Sophie Himmel; Hendrik Molter; Marco Morik; Rolf Niedermeier; René Saitenmacher (ASONAM, 2018)

State Representation Learning with Robotic Priors for Partially Observable Environments. - Marco Morik; Divyam Rastogi; Rico Jonschkowski; Oliver Brock (IROS, 2019)

The complexity of routing with collision avoidance. - Till Fluschnik; Marco Morik; Manuel Sorge (J. Comput. Syst. Sci., 2019)

Listing All Maximal k-Plexes in Temporal Graphs. - Matthias Bentert; Anne-Sophie Himmel; Hendrik Molter; Marco Morik; Rolf Niedermeier; René Saitenmacher (ACM J. Exp. Algorithmics, 2019)

Controlling Fairness and Bias in Dynamic Learning-to-Rank. - Marco Morik; Ashudeep Singh; Jessica Hong; Thorsten Joachims (SIGIR, 2020)

Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract). - Marco Morik; Ashudeep Singh; Jessica Hong; Thorsten Joachims (IJCAI, 2021)

An Analysis of Human Alignment of Latent Diffusion Models. - Lorenz Linhardt; Marco Morik; Sidney Bender; Naima Elosegui Borras (CoRR, 2024)

Enhancing Brain Source Reconstruction through Physics-Informed 3D Neural Networks. - Marco Morik; Ali Hashemi 002; Klaus-Robert Müller; Stefan Haufe; Shinichi Nakajima (CoRR, 2024)

Training objective drives the consistency of representational similarity across datasets. - Laure Ciernik; Lorenz Linhardt; Marco Morik; Jonas Dippel; Simon Kornblith; Lukas Muttenthaler (CoRR, 2024)

Deep Learning Meets Source Reconstruction. - Klaus-Robert Müller; Marco Morik (BCI, 2025)