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Matthias Kirchler
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2020 – today
- 2024
- [c6]Eshant English, Matthias Kirchler, Christoph Lippert:
Kernelised Normalising Flows. ICLR 2024 - [i7]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 abs/2403.00025 (2024) - 2023
- [c5]Matthias Kirchler, Christoph Lippert, Marius Kloft:
Training Normalizing Flows from Dependent Data. ICML 2023: 17105-17121 - [i6]Eshant English, Matthias Kirchler, Christoph Lippert:
Kernelised Normalising Flows. CoRR abs/2307.14839 (2023) - [i5]Eshant English, Matthias Kirchler, Christoph Lippert:
MixerFlow for Image Modelling. CoRR abs/2310.16777 (2023) - 2022
- [j1]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): 3621-3628 (2022) - [c4]Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert:
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. CVPR 2022: 20876-20889 - [i4]Matthias Kirchler, Christoph Lippert, Marius Kloft:
Training Normalizing Flows from Dependent Data. CoRR abs/2209.14933 (2022) - 2021
- [i3]Matthias Kirchler, Martin Graf, Marius Kloft, Christoph Lippert:
Explainability Requires Interactivity. CoRR abs/2109.07869 (2021) - [i2]Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert:
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. CoRR abs/2111.13424 (2021) - 2020
- [c3]Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert:
Two-sample Testing Using Deep Learning. AISTATS 2020: 1387-1398
2010 – 2019
- 2019
- [i1]Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert:
Two-sample Testing Using Deep Learning. CoRR abs/1910.06239 (2019) - 2016
- [c2]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: 23-34 - [c1]Dominik Herrmann, Matthias Kirchler
, Jens Lindemann
, Marius Kloft:
Behavior-based tracking of Internet users with semi-supervised learning. PST 2016: 596-599
Coauthor Index
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