Fast sampling of parameterised Gaussian random fields. - Jonas Latz; Marvin Eisenberger; Elisabeth Ullmann (CoRR, 2018)

Divergence-Free Shape Interpolation and Correspondence. - Marvin Eisenberger; Zorah Lähner; Daniel Cremers (CoRR, 2018)

Divergence-Free Shape Correspondence by Deformation. - Marvin Eisenberger; Zorah Lähner; Daniel Cremers (Comput. Graph. Forum, 2019)

Smooth Shells: Multi-Scale Shape Registration With Functional Maps. - Marvin Eisenberger; Zorah Lähner; Daniel Cremers (CVPR, 2020)

Hamiltonian Dynamics for Real-World Shape Interpolation. - Marvin Eisenberger; Daniel Cremers (ECCV (4), 2020)

Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Daniel Cremers (NeurIPS, 2020)

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. - Marvin Eisenberger; David Novotný; Gael Kerchenbaum; Patrick Labatut; Natalia Neverova; Daniel Cremers; Andrea Vedaldi (CVPR, 2021)

A Unified Framework for Implicit Sinkhorn Differentiation. - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Florian Bernard; Daniel Cremers (CVPR, 2022)

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. - Aysim Toker; Lukas Kondmann; Mark Weber; Marvin Eisenberger; Andrés Camero; Jingliang Hu; Ariadna Pregel Hoderlein; Çaglar Senaras; Timothy Davis; Daniel Cremers; Giovanni Marchisio; Xiao Xiang Zhu 001; et al. (CVPR, 2022)

Implicit Shape Completion via Adversarial Shape Priors. - Abhishek Saroha; Marvin Eisenberger; Tarun Yenamandra; Daniel Cremers (CoRR, 2022)

G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors. - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Daniel Cremers (CVPR, 2023)

ΣIGMA: Scale-Invariant Global Sparse Shape Matching. - Maolin Gao; Paul Roetzer; Marvin Eisenberger; Zorah Lähner; Michael Möller 001; Daniel Cremers; Florian Bernard (ICCV, 2023)

SIGMA: Scale-Invariant Global Sparse Shape Matching. - Maolin Gao; Paul Roetzer; Marvin Eisenberger; Zorah Lähner; Michael Möller 001; Daniel Cremers; Florian Bernard (CoRR, 2023)

ResolvNet: A Graph Convolutional Network with multi-scale Consistency. - Christian Koke; Abhishek Saroha; Yuesong Shen; Marvin Eisenberger; Daniel Cremers (CoRR, 2023)

Geometrically Consistent Partial Shape Matching. - Viktoria Ehm; Paul Roetzer; Marvin Eisenberger; Maolin Gao; Florian Bernard; Daniel Cremers (3DV, 2024)

Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation. - Dongliang Cao; Marvin Eisenberger; Nafie El Amrani; Daniel Cremers; Florian Bernard (CVPR, 2024)

Partial-to-Partial Shape Matching with Geometric Consistency. - Viktoria Ehm; Maolin Gao; Paul Roetzer; Marvin Eisenberger; Daniel Cremers; Florian Bernard (CVPR, 2024)

SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation. - Aysim Toker; Marvin Eisenberger; Daniel Cremers; Laura Leal-Taixé (CVPR, 2024)

AlphaEvolve: A coding agent for scientific and algorithmic discovery. - Alexander Novikov 001; Ngân Vu; Marvin Eisenberger; Emilien Dupont; Po-Sen Huang; Adam Zsolt Wagner; Sergey Shirobokov; Borislav Kozlovskii; Francisco J. R. Ruiz; Abbas Mehrabian; M. Pawan Kumar; Abigail See; et al. (CoRR, 2025)