Andreas Peter Steiner

Research Engineer, Google DeepMind

Joined

May 2021

Names

Andreas Peter Steiner (Preferred)

Andreas Steiner

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

DBLP

Semantic Scholar

Career & Education History

Research Engineer

Google DeepMind (deepmind.com)

2021 – Present

Software Engineer

Google (google.com)

2015 – 2020

Researcher

Medical Parasitology and Infection Biology, Swiss TPH (swisstph.ch)

2013 – 2015

MS student

D-ITET, ETHZ - ETH Zurich (ethz.ch)

2009 – 2012

Undergrad student

University of Lausanne (unil.ch)

2002 – 2009

Advisors, Relations & Conflicts

Coworker

Ibrahim Alabdulmohsin

2024 – Present

Coworker

Michael Tschannen

2022 – Present

Coworker

Lucas Beyer

2021 – 2024

Coworker

Klaus Reither

2014 – 2016

Expertise

deep learning

computer vision

2021 – Present

whole sequence genome analysis

data processing in resource constrained settings

2013 – 2015

Publications

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Michael Tschannen, Alexey A. Gritsenko, Xiao Wang, Muhammad Ferjad Naeem, Ibrahim Alabdulmohsin, Nikhil Parthasarathy, Talfan Evans, Lucas Beyer, Ye Xia, Basil Mustafa, Olivier J. Hénaff, Jeremiah Harmsen, Andreas Steiner, Xiaohua Zhai
- CoRR 2025
- Readers: Everyone
A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
Ibrahim Alabdulmohsin, Andreas Peter Steiner
- ICML 2025 poster
- Readers: Everyone
LocCa: Visual Pretraining with Location-aware Captioners
Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Peter Steiner, Lucas Beyer, Xiaohua Zhai
- NeurIPS 2024 poster
- Readers: Everyone
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Peter Steiner, Xiaohua Zhai, Ibrahim Alabdulmohsin
- NeurIPS 2024 poster
- Readers: Everyone
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Ibrahim Alabdulmohsin, Xiao Wang, Andreas Peter Steiner, Priya Goyal, Alexander D'Amour, Xiaohua Zhai
- ICLR 2024 poster
- Readers: Everyone
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Peter Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou
- ES-FoMO 2023 Poster
- Readers: Everyone
Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Peter Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby
- NeurIPS 2023 poster
- Readers: Everyone
Image Captioners Are Scalable Vision Learners Too
Michael Tschannen, Manoj Kumar, Andreas Peter Steiner, Xiaohua Zhai, Neil Houlsby, Lucas Beyer
- NeurIPS 2023 oral
- Readers: Everyone
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Peter Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
- NeurIPS 2023 poster
- Readers: Everyone
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 et al. (22 additional authors not shown)
- ICML 2023 OralPoster
- Readers: Everyone

View all 26 publications

Co-Authors

View all 107 co-authors