Banach Wasserstein GAN. - Jonas Adler; Sebastian Lunz (NeurIPS, 2018)

Adversarial Regularizers in Inverse Problems. - Sebastian Lunz; Carola Schönlieb; Ozan Öktem (NeurIPS, 2018)

Task adapted reconstruction for inverse problems. - Jonas Adler; Sebastian Lunz; Olivier Verdier; Carola-Bibiane Schönlieb; Ozan Öktem (CoRR, 2018)

On the Connection Between Adversarial Robustness and Saliency Map Interpretability. - Christian Etmann; Sebastian Lunz; Peter Maass; Carola Schönlieb (ICML, 2019)

The Oracle of DLphi. - Dominik Alfke; Weston Baines; Jan Blechschmidt; Mauricio J. del Razo Sarmina; Amnon Drory; Dennis Elbrächter; Nando Farchmin; Matteo Gambara; Silke Glas; Philipp Grohs; Peter Hinz; Danijel Kivaranovic; et al. (CoRR, 2019)

Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data. - Sebastian Lunz; Yingzhen Li; Andrew W. Fitzgibbon; Nate Kushman (CoRR, 2020)

On Learned Operator Correction. - Sebastian Lunz; Andreas Hauptmann; Tanja Tarvainen; Carola-Bibiane Schönlieb; Simon R. Arridge (CoRR, 2020)

Learned convex regularizers for inverse problems. - Subhadip Mukherjee; Sören Dittmer; Zakhar Shumaylov; Sebastian Lunz; Ozan Öktem; Carola-Bibiane Schönlieb (CoRR, 2020)

On Learned Operator Correction in Inverse Problems. - Sebastian Lunz; Andreas Hauptmann; Tanja Tarvainen; Carola-Bibiane Schönlieb; Simon R. Arridge (SIAM J. Imaging Sci., 2021)

Data-Driven Convex Regularizers for Inverse Problems. - Subhadip Mukherjee; Sören Dittmer; Zakhar Shumaylov; Sebastian Lunz; Ozan Öktem; Carola B. Schönlieb (ICASSP, 2024)