Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction. - Christina Runkel; Stefan Dorenkamp; Hartmut Bauermeister; Michael Möller 001 (ICPR, 2020)

Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. - Christina Runkel; Christian Etmann; Michael Möller 001; Carola-Bibiane Schönlieb (CoRR, 2021)

Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. - Angelica I. Avilés-Rivero; Christina Runkel; Nicolas Papadakis; Zoe Kourtzi; Carola-Bibiane Schönlieb (MICCAI (3), 2022)

Learning Posterior Distributions in Underdetermined Inverse Problems. - Christina Runkel; Michael Möller 001; Carola-Bibiane Schönlieb; Christian Etmann (SSVM, 2023)

Continuous Learned Primal Dual. - Christina Runkel; Ander Biguri; Carola-Bibiane Schönlieb (MLSP, 2024)

Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem. - Christina Runkel; Sinan Xiao; Nicolas Boullé; Yang Chen (CoRR, 2024)

Continuous U-Net: Faster, Greater and Noiseless. - Chun-Wun Cheng; Christina Runkel; Lihao Liu; Raymond H. Chan; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

Training Data Reconstruction: Privacy due to Uncertainty? - Christina Runkel; Kanchana Vaishnavi Gandikota; Jonas Geiping; Carola-Bibiane Schönlieb; Michael Moeller 001 (CVPR Workshops, 2025)

Smooth Model Compression without Fine-Tuning. - Christina Runkel; Natacha Kuete Meli; Jovita Lukasik; Ander Biguri; Carola-Bibiane Schönlieb; Michael Möller 001 (CoRR, 2025)