Michael Tschannen

Orcid: 0000-0002-8773-0641

According to our database¹, Michael Tschannen authored at least 60 papers between 2012 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Quantization-Free Autoregressive Action Transformer.

[BibT_eX]

[DOI]

CoRR, March, 2025

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

[BibT_eX]

[DOI]

Michael Tschannen

Alexey A. Gritsenko

Xiao Wang

Muhammad Ferjad Naeem

Ibrahim Alabdulmohsin

CoRR, February, 2025

Jet: A Modern Transformer-Based Normalizing Flow.

[BibT_eX]

[DOI]

Alexander Kolesnikov

André Susano Pinto

Michael Tschannen

Trans. Mach. Learn. Res., 2025

JetFormer: An autoregressive generative model of raw images and text.

[BibT_eX]

[DOI]

Michael Tschannen

André Susano Pinto

Alexander Kolesnikov

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers.

[BibT_eX]

[DOI]

Aleksandar Stanic

Sergi Caelles

Michael Tschannen

Trans. Mach. Learn. Res., 2024

PaliGemma 2: A Family of Versatile VLMs for Transfer.

[BibT_eX]

[DOI]

Ibrahim Alabdulmohsin

Lucas Beyer

Xiaohua Zhai

CoRR, 2024

PaliGemma: A versatile 3B VLM for transfer.

[BibT_eX]

[DOI]

CoRR, 2024

LocCa: Visual Pretraining with Location-aware Captioners.

[BibT_eX]

[DOI]

Ibrahim M. Alabdulmohsin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Finite Scalar Quantization: VQ-VAE Made Simple.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GIVT: Generative Infinite-Vocabulary Transformers.

[BibT_eX]

[DOI]

Michael Tschannen

Cian Eastwood

Fabian Mentzer

Proceedings of the Computer Vision - ECCV 2024, 2024

On Scaling Up a Multilingual Vision and Language Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PaLI-X: On Scaling up a Multilingual Vision and Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

Image Captioners Are Scalable Vision Learners Too.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scaling Vision Transformers to 22 Billion Parameters.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

M2T: Masking Transformers Twice for Faster Decoding.

[BibT_eX]

[DOI]

Fabian Mentzer

Eirikur Agustsson

Michael Tschannen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLIPPO: Image-and-Language Understanding from Pixels Only.

[BibT_eX]

[DOI]

Michael Tschannen

Basil Mustafa

Neil Houlsby

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FlexiViT: One Model for All Patch Sizes.

[BibT_eX]

[DOI]

Ibrahim Alabdulmohsin

Filip Pavetic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Image-and-Language Understanding from Pixels Only.

[BibT_eX]

[DOI]

Michael Tschannen

Basil Mustafa

Neil Houlsby

CoRR, 2022

Neural Face Video Compression using Multiple Views.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Representation learning from videos in-the-wild: An object-centric approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

On Robustness and Transferability of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

High-Fidelity Generative Image Compression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Automatic Shortcut Removal for Self-Supervised Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Weakly-Supervised Disentanglement Without Compromises.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

On Mutual Information Maximization for Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Disentangling Factors of Variations Using Few Labels.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Self-Supervised Learning of Video-Induced Visual Invariances.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Better Lossless Compression Using Lossy Compression.

[BibT_eX]

[DOI]

Fabian Mentzer

Luc Van Gool

Michael Tschannen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Unsupervised learning: model-based clustering and learned compression.

[BibT_eX]

[DOI]

Michael Tschannen

PhD thesis, 2019

Semantic Bottleneck Scene Generation.

[BibT_eX]

[DOI]

CoRR, 2019

The Visual Task Adaptation Benchmark.

[BibT_eX]

[DOI]

CoRR, 2019

Disentangling Factors of Variation Using Few Labels.

[BibT_eX]

[DOI]

CoRR, 2019

High-Fidelity Image Generation With Fewer Labels.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Generative Adversarial Networks for Extreme Learned Image Compression.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Practical Full Resolution Learned Lossless Image Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Noisy Subspace Clustering via Matching Pursuits.

[BibT_eX]

[DOI]

Michael Tschannen

Helmut Bölcskei

IEEE Trans. Inf. Theory, 2018

Recent Advances in Autoencoder-Based Representation Learning.

[BibT_eX]

[DOI]

Michael Tschannen

Olivier Bachem

Mario Lucic

CoRR, 2018

Deep Generative Models for Distribution-Preserving Lossy Compression.

[BibT_eX]

[DOI]

Michael Tschannen

Eirikur Agustsson

Mario Lucic

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

StrassenNets: Deep Learning with a Multiplication Budget.

[BibT_eX]

[DOI]

Michael Tschannen

Aran Khanna

Animashree Anandkumar

Proceedings of the 35th International Conference on Machine Learning, 2018

Born-Again Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Image Understanding from Deep Compression Without Decoding.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Conditional Probability Models for Deep Image Compression.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Extreme Learned Image Compression with GANs.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep structured features for semantic segmentation.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Convolutional Recurrent Neural Networks for Electrocardiogram Classification.

[BibT_eX]

[DOI]

Martin Zihlmann

Dmytro Perekrestenko

Michael Tschannen

Proceedings of the Computing in Cardiology, 2017

A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Regression forest-based automatic estimation of the articular margin plane for shoulder prosthesis planning.

[BibT_eX]

[DOI]

Medical Image Anal., 2016

Robust nonparametric nearest neighbor random process clustering.

[BibT_eX]

[DOI]

Michael Tschannen

Helmut Bölcskei

CoRR, 2016

Pursuits in Structured Non-Convex Matrix Factorizations.

[BibT_eX]

[DOI]

Rajiv Khanna

Michael Tschannen

Martin Jaggi

CoRR, 2016

Discrete Deep Feature Extraction: A Theory and New Architectures.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Heart Sound Classification Using Deep Structured Features.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Dimensionality-reduced subspace clustering.

[BibT_eX]

[DOI]

Reinhard Heckel

Michael Tschannen

Helmut Bölcskei

CoRR, 2015

Nonparametric nearest neighbor random process clustering.

[BibT_eX]

[DOI]

Michael Tschannen

Helmut Bölcskei

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

Subspace clustering of dimensionality-reduced data.

[BibT_eX]

[DOI]

Reinhard Heckel

Michael Tschannen

Helmut Bölcskei

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

SecureSafe: a highly secure online data safe industrial use case.

[BibT_eX]

[DOI]

Marc Rennhard

Michael Tschannen

Tobias Christen

Proceedings of the First Workshop on Measurement, Privacy, and Mobility, 2012

Single Marker Localization for Automatic Patient Registration in Interventional Radiology.

[BibT_eX]

[DOI]

Proceedings of the 11. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2012

Michael Tschannen

Timeline

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