Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. - William Hebgen Guss; Stephanie Milani; Nicholay Topin; Brandon Houghton; Sharada P. Mohanty; Andrew Melnik; Augustin Harter; Benoit Buschmaas; Bjarne Jaster; Christoph Berganski; Dennis Heitkamp; Marko Henning; et al. (NeurIPS (Competition and Demos), 2020)

Towards robust and domain agnostic reinforcement learning competitions. - William Hebgen Guss; Stephanie Milani; Nicholay Topin; Brandon Houghton; Sharada P. Mohanty; Andrew Melnik; Augustin Harter; Benoit Buschmaas; Bjarne Jaster; Christoph Berganski; Dennis Heitkamp; Marko Henning; et al. (CoRR, 2021)

Tilt Correction of Panoramic Images for a Holistic Visual Homing Method with Planar-Motion Assumption. - Christoph Berganski; Annika Hoffmann; Ralf Möller 002 (Robotics, 2023)

FINN-T: Compiling Custom Dataflow Accelerators for Quantized Transformers. - Christoph Berganski; Felix Jentzsch; Marco Platzner; Max Kuhmichel; Heiner Giefers (ICFPT, 2024)