Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources. - Peter Lippmann; Enrique Fita Sanmartín; Fred A. Hamprecht (NeurIPS, 2022)

Tensor Frames - How To Make Any Message Passing Network Equivariant. - Peter Lippmann; Gerrit Gerhartz; Roman Remme; Fred A. Hamprecht (CoRR, 2024)

Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing. - Peter Lippmann; Gerrit Gerhartz; Roman Remme; Fred A. Hamprecht (ICLR, 2025)

Stable and Accurate Orbital-Free DFT Powered by Machine Learning. - Roman Remme; Tobias Kaczun; Tim Ebert; Christof A. Gehrig; Dominik Geng; Gerrit Gerhartz; Marc K. Ickler; Manuel V. Klockow; Peter Lippmann; Johannes S. Schmidt; Simon Wagner; Andreas Dreuw; et al. (CoRR, 2025)

Lorentz Local Canonicalization: How to Make Any Network Lorentz-Equivariant. - Jonas Spinner; Luigi Favaro; Peter Lippmann; Sebastian Pitz; Gerrit Gerhartz; Tilman Plehn; Fred A. Hamprecht (CoRR, 2025)