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2020 – today
- 2025
[c5]Christina Runkel, Kanchana Vaishnavi Gandikota, Jonas Geiping, Carola-Bibiane Schönlieb, Michael Moeller:
Training Data Reconstruction: Privacy due to Uncertainty? CVPR Workshops 2025: 3502-3510- [i8]Christina Runkel
, Natacha Kuete Meli, Jovita Lukasik, Ander Biguri, Carola-Bibiane Schönlieb, Michael Möller:
Smooth Model Compression without Fine-Tuning. CoRR abs/2505.24469 (2025) - 2024
- [j1]Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Continuous U-Net: Faster, Greater and Noiseless. Trans. Mach. Learn. Res. 2024 (2024) - [c4]Christina Runkel, Ander Biguri, Carola-Bibiane Schönlieb:
Continuous Learned Primal Dual. MLSP 2024: 1-6 - [i7]Christina Runkel, Ander Biguri, Carola-Bibiane Schönlieb:
Continuous Learned Primal Dual. CoRR abs/2405.02478 (2024) - [i6]Christina Runkel, Sinan Xiao, Nicolas Boullé, Yang Chen:
Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem. CoRR abs/2412.00579 (2024) - [i5]Christina Runkel, Kanchana Vaishnavi Gandikota, Jonas Geiping, Carola-Bibiane Schönlieb, Michael Moeller:
Training Data Reconstruction: Privacy due to Uncertainty? CoRR abs/2412.08544 (2024) - 2023
- [c3]Christina Runkel, Michael Möller, Carola-Bibiane Schönlieb, Christian Etmann:
Learning Posterior Distributions in Underdetermined Inverse Problems. SSVM 2023: 187-209 - [i4]Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Continuous U-Net: Faster, Greater and Noiseless. CoRR abs/2302.00626 (2023) - 2022
- [c2]Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. MICCAI (3) 2022: 717-727 - [i3]Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. CoRR abs/2204.02399 (2022) - 2021
- [i2]Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb:
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. CoRR abs/2102.06496 (2021) - 2020
- [c1]Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister, Michael Möller:
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction. ICPR 2020: 5246-5253 - [i1]Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister, Michael Moeller:
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction. CoRR abs/2007.00603 (2020)
Coauthor Index
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