GRASS: a generic algorithm for scaffolding next-generation sequencing assemblies. - Alexey A. Gritsenko; Jurgen F. Nijkamp; Marcel J. T. Reinders; Dick de Ridder (Bioinform., 2012)

Using Predictive Models to Engineer Biology: A Case Study in Codon Optimization. - Alexey A. Gritsenko; Marcel J. T. Reinders; Dick de Ridder (PRIB, 2013)

Unbiased Quantitative Models of Protein Translation Derived from Ribosome Profiling Data. - Alexey A. Gritsenko; Marc Hulsman; Marcel J. T. Reinders; Dick de Ridder (PLoS Comput. Biol., 2015)

Sequence features of viral and human Internal Ribosome Entry Sites predictive of their activity. - Alexey A. Gritsenko; Shira Weingarten-Gabbay; Shani Elias-Kirma; Ronit Nir; Dick de Ridder; Eran Segal (PLoS Comput. Biol., 2017)

BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity. - Alexey A. Gritsenko; Alex D'Amour; James Atwood; Yoni Halpern; D. Sculley (CoRR, 2018)

On the relationship between Normalising Flows and Variational- and Denoising Autoencoders. - Alexey A. Gritsenko; Jasper Snoek; Tim Salimans (DGS@ICLR, 2019)

A Spectral Energy Distance for Parallel Speech Synthesis. - Alexey A. Gritsenko; Tim Salimans; Rianne van den Berg; Jasper Snoek; Nal Kalchbrenner (NeurIPS, 2020)

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. - Rianne van den Berg; Alexey A. Gritsenko; Mostafa Dehghani 001; Casper Kaae Sønderby; Tim Salimans (ICLR, 2021)

The Benchmark Lottery. - Mostafa Dehghani 001; Yi Tay; Alexey A. Gritsenko; Zhe Zhao 001; Neil Houlsby; Fernando Diaz 001; Donald Metzler; Oriol Vinyals (CoRR, 2021)

VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling. - Yang Li 058; Gang Li 021; Xin Zhou 018; Mostafa Dehghani 001; Alexey A. Gritsenko (CoRR, 2021)

SCENIC: A JAX Library for Computer Vision Research and Beyond. - Mostafa Dehghani 001; Alexey A. Gritsenko; Anurag Arnab; Matthias Minderer; Yi Tay (CVPR, 2022)

Simple Open-Vocabulary Object Detection. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (ECCV (10), 2022)

Autoregressive Diffusion Models. - Emiel Hoogeboom; Alexey A. Gritsenko; Jasmijn Bastings; Ben Poole; Rianne van den Berg; Tim Salimans (ICLR, 2022)

Video Diffusion Models. - Jonathan Ho; Tim Salimans; Alexey A. Gritsenko; William Chan; Mohammad Norouzi 002; David J. Fleet (NeurIPS, 2022)

Simple Open-Vocabulary Object Detection with Vision Transformers. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (CoRR, 2022)

Beyond Transfer Learning: Co-finetuning for Action Localisation. - Anurag Arnab; Xuehan Xiong; Alexey A. Gritsenko; Rob Romijnders; Josip Djolonga; Mostafa Dehghani 001; Chen Sun 002; Mario Lucic; Cordelia Schmid (CoRR, 2022)

Imagen Video: High Definition Video Generation with Diffusion Models. - Jonathan Ho; William Chan; Chitwan Saharia; Jay Whang; Ruiqi Gao; Alexey A. Gritsenko; Diederik P. Kingma; Ben Poole; Mohammad Norouzi 002; David J. Fleet; Tim Salimans (CoRR, 2022)

Video OWL-ViT: Temporally-consistent open-world localization in video. - Georg Heigold; Daniel Keysers; Matthias Minderer; Mario Lucic; Alexey A. Gritsenko; Fisher Yu 001; Alex Bewley; Thomas Kipf (ICCV, 2023)

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)

Scaling Open-Vocabulary Object Detection. - Matthias Minderer; Alexey A. Gritsenko; Neil Houlsby (NeurIPS, 2023)

End-to-End Spatio-Temporal Action Localisation with Video Transformers. - Alexey A. Gritsenko; Xuehan Xiong; Josip Djolonga; Mostafa Dehghani 001; Chen Sun 002; Mario Lucic; Cordelia Schmid; Anurag Arnab (CVPR, 2024)

Time-, Memory- and Parameter-Efficient Visual Adaptation. - Otniel-Bogdan Mercea; Alexey A. Gritsenko; Cordelia Schmid; Anurag Arnab (CVPR, 2024)

Improving fine-grained understanding in image-text pre-training. - Ioana Bica; Anastasija Ilic; Matthias Bauer; Goker Erdogan; Matko Bosnjak; Christos Kaplanis; Alexey A. Gritsenko; Matthias Minderer; Charles Blundell; Razvan Pascanu; Jovana Mitrovic (ICML, 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)

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. - Connor Schenck; Isaac Reid; Mithun George Jacob; Alex Bewley; Joshua Ainslie; David Rendleman; Deepali Jain; Mohit Sharma 001; Avinava Dubey; Ayzaan Wahid; Sumeet Singh; René Wagner; et al. (CoRR, 2025)

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)