Alexey A. Gritsenko
Cited by
Cited by
Systematic discovery of cap-independent translation sequences in human and viral genomes
S Weingarten-Gabbay, S Elias-Kirma, R Nir, AA Gritsenko, ...
Science 351 (6270), 2016
GRASS: a generic algorithm for scaffolding next-generation sequencing assemblies
AA Gritsenko, JF Nijkamp, MJT Reinders, D Ridder
Bioinformatics 28 (11), 1429-1437, 2012
Global DNA compaction in stationary-phase bacteria does not affect transcription
R Janissen, MMA Arens, NN Vtyurina, Z Rivai, ND Sunday, ...
Cell 174 (5), 1188-1199. e14, 2018
Unbiased quantitative models of protein translation derived from ribosome profiling data
AA Gritsenko, M Hulsman, MJT Reinders, D de Ridder
PLoS computational biology 11 (8), e1004336, 2015
Sequence features of viral and human Internal Ribosome Entry Sites predictive of their activity
AA Gritsenko*, S Weingarten-Gabbay*, S Elias-Kirma, R Nir, D De Ridder, ...
PLoS computational biology 13 (9), e1005734, 2017
A Spectral Energy Distance for Parallel Speech Synthesis
AA Gritsenko*, T Salimans*, R van den Berg, J Snoek, N Kalchbrenner
Advances in Neural Information Processing Systems, 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
R van den Berg, AA Gritsenko, M Dehghani, C Kaae Sønderby, ...
ICLR 2020, arXiv: 2006.12459, 2020
The Benchmark Lottery
M Dehghani*, Y Tay*, AA Gritsenko*, Z Zhao, N Houlsby, F Diaz, ...
On the relationship between Normalising Flows and Variational- and Denoising Autoencoders
AA Gritsenko, J Snoek, T Salimans
ICLR 2019, Deep Generative Models for Highly Structured Data Workshop, 2019
BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity
AA Gritsenko, A D'Amour, J Atwood, Y Halpern, D Sculley
NeurIPS 2018 Workshop on Ethical, Social and Governance Issues in AI, 2018
Using predictive models to engineer biology: a case study in codon optimization
AA Gritsenko, MJT Reinders, D de Ridder
IAPR International Conference on Pattern Recognition in Bioinformatics, 159-171, 2013
Autoregressive Diffusion Models
E Hoogeboom, AA Gritsenko, J Bastings, B Poole, R Berg, T Salimans
arXiv preprint arXiv:2110.02037, 2021
Data-driven modelling of protein synthesis: A sequence perspective
A Gritsenko
Data-driven codon optimization in Saccharomyces cerevisiae
AA Gritsenko, F Koopman, M Reinders, JM Daran, D de Ridder
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Articles 1–14