Matthias Kirchler

18 papers A* 3A 1C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Large language models improve transferability of electronic health record-based predictions across countries and coding systems.
npj Digit. Medicine
Matthias Kirchler, Matteo Ferro, Veronica Lorenzini, Robin Van De Water, FinnGen, Christoph Lippert, Andrea Ganna
2025 J jnl
On the Challenges and Opportunities in Generative AI.
Trans. Mach. Learn. Res.
Laura Manduchi, Clara Meister, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2024 — conf
Heterogeneous Medical Data Integration with Multi-Source StyleGAN.
MIDL
Wei-Cheng Lai, Matthias Kirchler, Hadya Yassin, Jana Fehr, Alexander Rakowski, Hampus Olsson, Ludger Starke, Jason Michael Millward, Sonia Waiczies, Christoph Lippert
2024 A* conf
Kernelised Normalising Flows.
ICLR
Eshant English, Matthias Kirchler, Christoph Lippert
2024 — conf
MixerFlow: MLP-Mixer Meets Normalising Flows.
ECML/PKDD (1)
Eshant English, Matthias Kirchler, Christoph Lippert
2024 J jnl
On the Challenges and Opportunities in Generative AI.
CoRR
Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2023 J jnl
Kernelised Normalising Flows.
CoRR
Eshant English, Matthias Kirchler, Christoph Lippert
2023 J jnl
MixerFlow for Image Modelling.
CoRR
Eshant English, Matthias Kirchler, Christoph Lippert
2023 A* conf
Training Normalizing Flows from Dependent Data.
ICML
Matthias Kirchler, Christoph Lippert, Marius Kloft
2022 A* conf
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics.
CVPR
Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert
2022 J jnl
Training Normalizing Flows from Dependent Data.
CoRR
Matthias Kirchler, Christoph Lippert, Marius Kloft
2022 J jnl
transferGWAS: GWAS of images using deep transfer learning.
Bioinform.
Matthias Kirchler, Stefan Konigorski, Matthias Norden, Christian Meltendorf, Marius Kloft, Claudia Schurmann, Christoph Lippert
2021 J jnl
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics.
CoRR
Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert
2021 J jnl
Explainability Requires Interactivity.
CoRR
Matthias Kirchler, Martin Graf, Marius Kloft, Christoph Lippert
2020 A conf
Two-sample Testing Using Deep Learning.
AISTATS
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
2019 J jnl
Two-sample Testing Using Deep Learning.
CoRR
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
2016 C conf
Behavior-based tracking of Internet users with semi-supervised learning.
PST
Dominik Herrmann, Matthias Kirchler, Jens Lindemann, Marius Kloft
2016 — conf
Tracked Without a Trace: Linking Sessions of Users by Unsupervised Learning of Patterns in Their DNS Traffic.
AISec@CCS
Matthias Kirchler, Dominik Herrmann, Jens Lindemann, Marius Kloft