A Model for Classification Structures with Evolution Control. - Moira C. Norrie; Andreas Steiner 001; Alain Würgler; Martin Wunderli (ER, 1996)

Temporal Object Role Modelling. - Andreas Steiner 001; Moira C. Norrie (CAiSE, 1997)

Transitioning Temporal Support in TSQL2 to SQL3. - Richard T. Snodgrass; Michael H. Böhlen; Christian S. Jensen; Andreas Steiner 001 (Temporal Databases, Dagstuhl, 1997)

Implementing Temporal Databases in Object-Oriented Systems. - Andreas Steiner 001; Moira C. Norrie (DASFAA, 1997)

OMS/Java: Model Extensibility of OODBMS for Advanced Application Domains. - Andreas Steiner 001; Adrian Kobler; Moira C. Norrie (CAiSE, 1998)

1kHz 2D silicon retina motion sensor platform. - Andreas Steiner 001; Rico Moeckel; Reto Thurer; Dario Floreano; Tobi Delbruck; Shih-Chii Liu (ISCAS, 2014)

1 kHz 2D Visual Motion Sensor Using 20, ×, 20 Silicon Retina Optical Sensor and DSP Microcontroller. - Shih-Chii Liu; Minhao Yang; Andreas Steiner 001; Rico Moeckel; Tobi Delbruck (IEEE Trans. Biomed. Circuits Syst., 2015)

MLP-Mixer: An all-MLP Architecture for Vision. - Ilya O. Tolstikhin; Neil Houlsby; Alexander Kolesnikov 003; Lucas Beyer; Xiaohua Zhai; Thomas Unterthiner; Jessica Yung; Andreas Steiner 001; Daniel Keysers; Jakob Uszkoreit; Mario Lucic; Alexey Dosovitskiy (NeurIPS, 2021)

LiT: Zero-Shot Transfer with Locked-image text Tuning. - Xiaohua Zhai; Xiao Wang 038; Basil Mustafa; Andreas Steiner 001; Daniel Keysers; Alexander Kolesnikov 003; Lucas Beyer (CVPR, 2022)

PaLI: A Jointly-Scaled Multilingual Language-Image Model. - Xi Chen 071; Xiao Wang 038; Soravit Changpinyo; A. J. Piergiovanni; Piotr Padlewski; Daniel Salz; Sebastian Goodman; Adam Grycner; Basil Mustafa; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; et al. (CoRR, 2022)

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers. - Andreas Steiner 001; Alexander Kolesnikov 003; Xiaohua Zhai; Ross Wightman; Jakob Uszkoreit; Lucas Beyer (Trans. Mach. Learn. Res., 2022)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. - Mostafa Dehghani 001; Basil Mustafa; Josip Djolonga; Jonathan Heek; Matthias Minderer; Mathilde Caron; Andreas Steiner 001; Joan Puigcerver; Robert Geirhos; Ibrahim M. Alabdulmohsin; Avital Oliver; Piotr Padlewski; et al. (NeurIPS, 2023)

Three Towers: Flexible Contrastive Learning with Pretrained Image Models. - Jannik Kossen; Mark Collier; Basil Mustafa; Xiao Wang 038; Xiaohua Zhai; Lucas Beyer; Andreas Steiner 001; Jesse Berent; Rodolphe Jenatton; Effrosyni Kokiopoulou (NeurIPS, 2023)

Image Captioners Are Scalable Vision Learners Too. - Michael Tschannen; Manoj Kumar; Andreas Steiner 001; Xiaohua Zhai; Neil Houlsby; Lucas Beyer (NeurIPS, 2023)

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. - Lucas Beyer; Bo Wan; Gagan Madan; Filip Pavetic; Andreas Steiner 001; Alexander Kolesnikov 003; André Susano Pinto; Emanuele Bugliarello; Xiao Wang 038; Qihang Yu; Liang-Chieh Chen; Xiaohua Zhai (CoRR, 2023)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? - Ibrahim Alabdulmohsin; Xiao Wang 038; Andreas Peter Steiner; Priya Goyal; Alexander D'Amour; Xiaohua Zhai (ICLR, 2024)

No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models. - Angéline Pouget; Lucas Beyer; Emanuele Bugliarello; Xiao Wang 038; Andreas Steiner 001; Xiaohua Zhai; Ibrahim M. Alabdulmohsin (NeurIPS, 2024)

LocCa: Visual Pretraining with Location-aware Captioners. - Bo Wan; Michael Tschannen; Yongqin Xian; Filip Pavetic; Ibrahim M. Alabdulmohsin; Xiao Wang 038; André Susano Pinto; Andreas Steiner 001; Lucas Beyer; Xiaohua Zhai (NeurIPS, 2024)

PaliGemma: A versatile 3B VLM for transfer. - Lucas Beyer; Andreas Steiner 001; André Susano Pinto; Alexander Kolesnikov 003; Xiao Wang 038; Daniel Salz; Maxim Neumann; Ibrahim Alabdulmohsin; Michael Tschannen; Emanuele Bugliarello; Thomas Unterthiner; Daniel Keysers; et al. (CoRR, 2024)

PaliGemma 2: A Family of Versatile VLMs for Transfer. - Andreas Steiner 001; André Susano Pinto; Michael Tschannen; Daniel Keysers; Xiao Wang 038; Yonatan Bitton; Alexey A. Gritsenko; Matthias Minderer; Anthony Sherbondy; Shangbang Long; Siyang Qin; R. Reeve Ingle; et al. (CoRR, 2024)

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features. - Michael Tschannen; Alexey A. Gritsenko; Xiao Wang 038; Muhammad Ferjad Naeem; Ibrahim Alabdulmohsin; Nikhil Parthasarathy; Talfan Evans; Lucas Beyer; Ye Xia; Basil Mustafa; Olivier J. Hénaff; Jeremiah Harmsen; et al. (CoRR, 2025)

A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language? - Ibrahim Alabdulmohsin; Andreas Steiner 001 (CoRR, 2025)

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens. - Lijie Fan; Luming Tang; Siyang Qin; Tianhong Li; Xuan Yang; Siyuan Qiao; Andreas Steiner 001; Chen Sun 002; Yuanzhen Li; Tao Zhu; Michael Rubinstein; Michalis Raptis; et al. (CoRR, 2025)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)