Alexander Kolesnikov

Researcher, OpenAI

Joined

July 2019

Names

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

****@ist.ac.at

****@openai.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

OpenAI (openai.com)

2024 – Present

Researcher

Google (google.com)

2018 – 2024

PhD student

Institute of Science and Technology (ist.ac.at)

2013 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Christoph H Lampert

2013 – 2018

Expertise

Deep representation learning

2013 – Present

Transfer Learning

2013 – Present

Computer Vision

2013 – Present

Publications

Jet: A Modern Transformer-Based Normalizing Flow
Alexander Kolesnikov, André Susano Pinto, Michael Tschannen
- Accepted by TMLR
- Readers: Everyone
JetFormer: An autoregressive generative model of raw images and text
Michael Tschannen, André Susano Pinto, Alexander Kolesnikov
- ICLR 2025 Poster
- Readers: Everyone
PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Sebastian Goodman, Basil Mustafa, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut
- Submitted to ICLR 2024
- Readers: Everyone
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
Ibrahim Alabdulmohsin, Xiaohua Zhai, Alexander Kolesnikov, Lucas Beyer
- 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
Tuning Computer Vision Models With Task Rewards
André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai
- ICML 2023 Poster
- Readers: Everyone
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar et al. (22 additional authors not shown)
- 2023 (modified: 02 Apr 2023)
- CoRR 2023
- Readers: Everyone
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Lucas Beyer, Bo Wan, Gagan Madan, Filip Pavetic, Andreas Steiner, Alexander Kolesnikov, André Susano Pinto, Emanuele Bugliarello, Xiao Wang, Qihang Yu, Liang-Chieh Chen, Xiaohua Zhai
- 2023 (modified: 16 Apr 2023)
- CoRR 2023
- Readers: Everyone
Tuning computer vision models with task rewards
André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone

View all 62 publications

Co-Authors

View all 124 co-authors