On the Suitability of Connectivity-Extended Local Embedding for Drawing Multivariate Graphs. - Sebastian Fahnenschreiber; Melvin Laux; Tatiana von Landesberger (VMV, 2014)

Deep Adversarial Reinforcement Learning for Object Disentangling. - Melvin Laux; Oleg Arenz; Jan Peters 001; Joni Pajarinen (IROS, 2020)

A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations. - Alexander Fabisch; Manuela Uliano; Dennis Marschner; Melvin Laux; Johannes Brust; Marco Controzzi (Humanoids, 2022)

A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations. - Alexander Fabisch; Melvin Laux; Dennis Marschner; Johannes Brust (CoRR, 2022)

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning. - Octavio Arriaga; Rebecca Adam; Melvin Laux; Lisa Gutzeit; Marco Ragni; Jan Peters 001; Frank Kirchner (CoRR, 2025)