关注
Yingying Xu (許 インイン)  (许 滢滢)
Yingying Xu (許 インイン) (许 滢滢)
University researcher, University of Helsinki; Finnish Center for Artificial Intelligence
在 helsinki.fi 的电子邮件经过验证
标题
引用次数
引用次数
年份
Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis
MJ Skwark, NJ Croucher, S Puranen, C Chewapreecha, M Pesonen, ...
PLoS genetics 13 (2), e1006508, 2017
1092017
Genome-wide epistasis and co-selection study using mutual information
J Pensar, S Puranen, B Arnold, N MacAlasdair, J Kuronen, G Tonkin-Hill, ...
Nucleic acids research 47 (18), e112-e112, 2019
422019
Bayesian signal reconstruction for 1-bit compressed sensing
Y Xu, Y Kabashima, L Zdeborová
Journal of Statistical Mechanics: Theory and Experiment 2014 (11), P11015, 2014
352014
SuperDCA for genome-wide epistasis analysis
S Puranen, M Pesonen, J Pensar, YY Xu, JA Lees, SD Bentley, ...
Microbial genomics 4 (6), 2018
272018
Statistical mechanics approach to 1-bit compressed sensing
Y Xu, Y Kabashima
Journal of Statistical Mechanics: Theory and Experiment 2013 (02), P02041, 2013
142013
Inverse finite-size scaling for high-dimensional significance analysis
Y Xu, S Puranen, J Corander, Y Kabashima
Physical Review E 97 (6), 062112, 2018
112018
Learning performance in inverse Ising problems with sparse teacher couplings
A Abbara, Y Kabashima, T Obuchi, Y Xu
Journal of Statistical Mechanics: Theory and Experiment 2020 (7), 073402, 2020
72020
Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis
A Sakata, Y Xu
Journal of Statistical Mechanics: Theory and Experiment 2018 (3), 033404, 2018
72018
Statistical properties of interaction parameter estimates in direct coupling analysis
Y Xu, E Aurell, J Corander, Y Kabashima
arXiv preprint arXiv:1704.01459, 2017
52017
High-dimensional structure learning of binary pairwise Markov networks: a comparative numerical study
J Pensar, Y Xu, S Puranen, M Pesonen, Y Kabashima, J Corander
Computational Statistics & Data Analysis 141, 62-76, 2020
42020
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood
K Suotsalo, Y Xu, J Corander, J Pensar
Statistics and Computing 31 (73), 2021
22021
Statistical mechanics analysis of thresholding 1-bit compressed sensing
Y Xu, Y Kabashima
Journal of Statistical Mechanics: Theory and Experiment 2016 (8), 083405, 2016
22016
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood
K Suotsalo, Y Xu, J Corander, J Pensar
arXiv preprint arXiv:2011.01484, 2020
2020
28aAR-13 Generalized Approximate Message Passing for estimation and the application to 1-bit compressed
Y Xu, L Zdeborova, Y Kabashima
Meeting Abstracts of the Physical Society of Japan 69.1. 2, 323, 2014
2014
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