Tracked Without a Trace: Linking Sessions of Users by Unsupervised Learning of Patterns in Their DNS Traffic. - Matthias Kirchler; Dominik Herrmann; Jens Lindemann 001; Marius Kloft (AISec@CCS, 2016)

Behavior-based tracking of Internet users with semi-supervised learning. - Dominik Herrmann; Matthias Kirchler; Jens Lindemann 001; Marius Kloft (PST, 2016)

Two-sample Testing Using Deep Learning. - Matthias Kirchler; Shahryar Khorasani; Marius Kloft; Christoph Lippert (AISTATS, 2020)

Explainability Requires Interactivity. - Matthias Kirchler; Martin Graf; Marius Kloft; Christoph Lippert (CoRR, 2021)

ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. - Aiham Taleb; Matthias Kirchler; Remo Monti; Christoph Lippert (CVPR, 2022)

transferGWAS: GWAS of images using deep transfer learning. - Matthias Kirchler; Stefan Konigorski; Matthias Norden; Christian Meltendorf; Marius Kloft; Claudia Schurmann; Christoph Lippert (Bioinform., 2022)

Training Normalizing Flows from Dependent Data. - Matthias Kirchler; Christoph Lippert; Marius Kloft (ICML, 2023)

MixerFlow for Image Modelling. - Eshant English; Matthias Kirchler; Christoph Lippert (CoRR, 2023)

Kernelised Normalising Flows. - Eshant English; Matthias Kirchler; Christoph Lippert (ICLR, 2024)

Heterogeneous Medical Data Integration with Multi-Source StyleGAN. - Wei-Cheng Lai; Matthias Kirchler; Hadya Yassin; Jana Fehr; Alexander Rakowski; Hampus Olsson; Ludger Starke; Jason Michael Millward; Sonia Waiczies; Christoph Lippert (MIDL, 2024)

MixerFlow: MLP-Mixer Meets Normalising Flows. - Eshant English; Matthias Kirchler; Christoph Lippert (ECML/PKDD (1), 2024)

On the Challenges and Opportunities in Generative AI. - Laura Manduchi; Kushagra Pandey; Robert Bamler; Ryan Cotterell; Sina Däubener; Sophie Fellenz; Asja Fischer; Thomas Gärtner 004; Matthias Kirchler; Marius Kloft; Yingzhen Li; Christoph Lippert; et al. (CoRR, 2024)