MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs. - Freya Behrens; Sebastian Bischoff 001; Pius Ladenburger; Julius Rückin; Laurenz Seidel; Fabian Stolp; Michael Vaichenker; Adrian Ziegler; Davide Mottin; Fatemeh Aghaei; Emmanuel Müller; Martin Preusse; et al. (WWW (Companion Volume), 2018)

Feature Learning for Meta-Paths in Knowledge Graphs. - Sebastian Bischoff 001 (CoRR, 2018)

The Importance of Suppressing Domain Style in Authorship Analysis. - Sebastian Bischoff 001; Niklas Deckers; Marcel Schliebs; Ben Thies; Matthias Hagen; Efstathios Stamatatos; Benno Stein 001; Martin Potthast (CoRR, 2020)

On Second-order Optimization Methods for Federated Learning. - Sebastian Bischoff 001; Stephan Günnemann; Martin Jaggi; Sebastian U. Stich (CoRR, 2021)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

A Practical Guide to Statistical Distances for Evaluating Generative Models in Science. - Sebastian Bischoff 001; Alana Darcher; Michael Deistler; Richard Gao; Franziska Gerken; Manuel Glöckler; Lisa Haxel; Jaivardhan Kapoor; Janne K. Lappalainen; Jakob H. Macke; Guy Moss 001; Matthijs Pals; et al. (CoRR, 2024)

A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science. - Sebastian Bischoff 001; Alana Darcher; Michael Deistler; Richard Gao; Franziska Gerken; Manuel Glöckler; Lisa Haxel; Jaivardhan Kapoor; Janne K. Lappalainen; Jakob H. Macke; Guy Moss 001; Matthijs Pals; et al. (Trans. Mach. Learn. Res., 2024)

sbi reloaded: a toolkit for simulation-based inference workflows. - Jan Boelts; Michael Deistler; Manuel Glöckler; Álvaro Tejero-Cantero; Jan-Matthis Lueckmann; Guy Moss 001; Peter Steinbach; Thomas Moreau 001; Fabio Muratore; Julia Linhart; Conor Durkan; Julius Vetter; et al. (J. Open Source Softw., 2025)