Alexey Gritsenko
Alexey is a Google Brain resident based in Amsterdam. He joined the residency programme after spending several years in industry working on computational advertising, and after obtaining a doctorate degree in Bioinformatics from the Delft University of Technology, where he used computational methods to study sequence determinants of protein synthesis.
During that time Alexey developed a broad interest in machine learning, but was primarily exposed to its applications. He is excited about switching to the research side of machine learning and views the residency as an opportunity to work on topics he would not otherwise be exposed to.
Alexey’s current research interests lie at the intersection of ML Fairness and generative models, but he’s always excited to talk about biology and genetics!
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Scaling Vision Transformers to 22 Billion Parameters
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Justin Gilmer
Mathilde Caron
Rodolphe Jenatton
Lucas Beyer
Michael Tschannen
Anurag Arnab
Carlos Riquelme
Matthias Minderer
Gamaleldin Elsayed
Fisher Yu
Avital Oliver
Fantine Huot
Mark Collier
Vighnesh Birodkar
Yi Tay
Alexander Kolesnikov
Filip Pavetić
Thomas Kipf
Xiaohua Zhai
Neil Houlsby
Arxiv (2023)
Simple Open-Vocabulary Object Detection with Vision Transformers
Matthias Minderer
Austin Stone
Maxim Neumann
Dirk Weissenborn
Alexey Dosovitskiy
Anurag Arnab
Zhuoran Shen
Xiaohua Zhai
Thomas Kipf
Neil Houlsby
ECCV (Poster) (2022)
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
Rianne van den Berg
Casper Kaae Sønderby
ICLR 2021, ICLR 2021 (to appear)
A Spectral Energy Distance for Parallel Speech Synthesis
Nal Kalchbrenner
Rianne van den Berg
(2020)
BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity
Yoni Halpern
D. Sculley
Neural Information Processing Systems: Workshop on Ethical, Social and Governance Issues in AI (2018)
