Michael Tschannen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
10
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | JetFormer: An autoregressive generative model of raw images and text. | Michael Tschannen, Andr Susano Pinto, Alexander Kolesnikov |
| 2024 | CVPR | On Scaling Up a Multilingual Vision and Language Model. | Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut |
| 2024 | ECCV | GIVT: Generative Infinite-Vocabulary Transformers. | Michael Tschannen, Cian Eastwood, Fabian Mentzer |
| 2024 | ICLR | Finite Scalar Quantization: VQ-VAE Made Simple. | Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen |
| 2023 | CVPR | FlexiViT: One Model for All Patch Sizes. | Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic |
| 2023 | CVPR | CLIPPO: Image-and-Language Understanding from Pixels Only. | Michael Tschannen, Basil Mustafa, Neil Houlsby |
| 2023 | ICCV | M2T: Masking Transformers Twice for Faster Decoding. | Fabian Mentzer, Eirikur Agustsson, Michael Tschannen |
| 2023 | ICML | Scaling Vision Transformers to 22 Billion Parameters. | Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby |
| 2022 | CVPR | Neural Face Video Compression using Multiple Views. | Anna Volokitin, Stefan Brugger, Ali Benlalah, Sebastian Martin, Brian Amberg, Michael Tschannen |
| 2021 | CVPR | On Robustness and Transferability of Convolutional Neural Networks. | Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic |
| 2021 | WACV | Representation learning from videos in-the-wild: An object-centric approach. | Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic |
| 2020 | CVPR | Learning Better Lossless Compression Using Lossy Compression. | Fabian Mentzer, Luc Van Gool, Michael Tschannen |
| 2020 | CVPR | Self-Supervised Learning of Video-Induced Visual Invariances. | Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic |
| 2020 | ICLR | Disentangling Factors of Variations Using Few Labels. | Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rtsch, Bernhard Schlkopf, Olivier Bachem |
| 2020 | ICLR | On Mutual Information Maximization for Representation Learning. | Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic |
| 2020 | ICML | Weakly-Supervised Disentanglement Without Compromises. | Francesco Locatello, Ben Poole, Gunnar Rtsch, Bernhard Schlkopf, Olivier Bachem, Michael Tschannen |
| 2020 | ICML | Automatic Shortcut Removal for Self-Supervised Representation Learning. | Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen |
| 2019 | CVPR | Practical Full Resolution Learned Lossless Image Compression. | Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool |
| 2019 | ICCV | Generative Adversarial Networks for Extreme Learned Image Compression. | Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool |
| 2019 | ICML | High-Fidelity Image Generation With Fewer Labels. | Mario Lucic, Michael Tschannen, Marvin Ritter, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly |
| 2018 | CVPR | Extreme Learned Image Compression with GANs. | Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool |
| 2018 | CVPR | Conditional Probability Models for Deep Image Compression. | Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool |
| 2018 | ICLR | Towards Image Understanding from Deep Compression Without Decoding. | Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool |
| 2018 | ICML | Born-Again Neural Networks. | Tommaso Furlanello, Zachary Chase Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar |
| 2018 | ICML | StrassenNets: Deep Learning with a Multiplication Budget. | Michael Tschannen, Aran Khanna, Animashree Anandkumar |
| 2017 | AISTATS | A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe. | Francesco Locatello, Rajiv Khanna, Michael Tschannen, Martin Jaggi |
| 2016 | ICML | Discrete Deep Feature Extraction: A Theory and New Architectures. | Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Blcskei |
| 2015 | ISIT | Nonparametric nearest neighbor random process clustering. | Michael Tschannen, Helmut Blcskei |
| 2014 | ISIT | Subspace clustering of dimensionality-reduced data. | Reinhard Heckel, Michael Tschannen, Helmut Blcskei |
| 2013 | MICCAI | A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences. | Valeria De Luca, Michael Tschannen, Gbor Szkely, Christine Tanner |
| 2012 | EuroSys | SecureSafe: a highly secure online data safe industrial use case. | Marc Rennhard, Michael Tschannen, Tobias Christen |