Matthias Kirchler

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Unsupervised Learning

Regularization Framework

Top Venues

Publications

Eshant English, Matthias Kirchler, Christoph Lippert
Kernelised Normalising Flows. ICLR (2024)
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
On the Challenges and Opportunities in Generative AI. CoRR (2024)
Eshant English, Matthias Kirchler, Christoph Lippert
MixerFlow for Image Modelling. CoRR (2023)
Eshant English, Matthias Kirchler, Christoph Lippert
Kernelised Normalising Flows. CoRR (2023)
Matthias Kirchler, Christoph Lippert, Marius Kloft
Training Normalizing Flows from Dependent Data. ICML (2023)
Matthias Kirchler, Stefan Konigorski, Matthias Norden, Christian Meltendorf, Marius Kloft, Claudia Schurmann, Christoph Lippert
transferGWAS: GWAS of images using deep transfer learning. Bioinform. 38 (14) (2022)
Matthias Kirchler, Christoph Lippert, Marius Kloft
Training Normalizing Flows from Dependent Data. CoRR (2022)
Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. CVPR (2022)
Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. CoRR (2021)
Matthias Kirchler, Martin Graf, Marius Kloft, Christoph Lippert
Explainability Requires Interactivity. CoRR (2021)
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
Two-sample Testing Using Deep Learning. AISTATS (2020)
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
Two-sample Testing Using Deep Learning. CoRR (2019)
Matthias Kirchler, Dominik Herrmann, Jens Lindemann, Marius Kloft
Tracked Without a Trace: Linking Sessions of Users by Unsupervised Learning of Patterns in Their DNS Traffic. AISec@CCS (2016)
Dominik Herrmann, Matthias Kirchler, Jens Lindemann, Marius Kloft
Behavior-based tracking of Internet users with semi-supervised learning. PST (2016)