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Jie Ren
Jie Ren
Research Scientist at Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift
Y Ovadia, E Fertig, J Ren, Z Nado, D Sculley, S Nowozin, J Dillon, ...
Advances in neural information processing systems 32, 2019
15282019
Likelihood ratios for out-of-distribution detection
J Ren, PJ Liu, E Fertig, J Snoek, R Poplin, M Depristo, J Dillon, ...
Advances in neural information processing systems 32, 2019
6412019
VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data
J Ren, NA Ahlgren, YY Lu, JA Fuhrman, F Sun
Microbiome 5 (1), 1-20, 2017
4662017
Identifying viruses from metagenomic data using deep learning
J Ren, K Song, C Deng, NA Ahlgren, JA Fuhrman, Y Li, X Xie, R Poplin, ...
Quantitative Biology 8, 64-77, 2020
3242020
Alignment-free oligonucleotide frequency dissimilarity measure improves prediction of hosts from metagenomically-derived viral sequences
NA Ahlgren, J Ren, YY Lu, JA Fuhrman, F Sun
Nucleic acids research 45 (1), 39-53, 2017
2552017
Exploring the limits of out-of-distribution detection
S Fort, J Ren, B Lakshminarayanan
Advances in Neural Information Processing Systems 34, 7068-7081, 2021
2322021
New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing
K Song, J Ren, G Reinert, M Deng, MS Waterman, F Sun
Briefings in bioinformatics 15 (3), 343-353, 2014
1822014
A simple fix to mahalanobis distance for improving near-ood detection
J Ren, S Fort, J Liu, AG Roy, S Padhy, B Lakshminarayanan
arXiv preprint arXiv:2106.09022, 2021
1252021
Does your dermatology classifier know what it doesn’t know? detecting the long-tail of unseen conditions
AG Roy, J Ren, S Azizi, A Loh, V Natarajan, B Mustafa, N Pawlowski, ...
Medical Image Analysis 75, 102274, 2022
962022
Comparison of metagenomic samples using sequence signatures
B Jiang, K Song, J Ren, M Deng, F Sun, X Zhang
BMC genomics 13 (1), 1-17, 2012
942012
Uncertainty baselines: Benchmarks for uncertainty & robustness in deep learning
Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ...
arXiv preprint arXiv:2106.04015, 2021
892021
A network-based integrated framework for predicting virus–prokaryote interactions
W Wang, J Ren, K Tang, E Dart, JC Ignacio-Espinoza, JA Fuhrman, ...
NAR genomics and bioinformatics 2 (2), lqaa044, 2020
872020
Gut microbial and metabolomic profiles after fecal microbiota transplantation in pediatric ulcerative colitis patients
DJ Nusbaum, F Sun, J Ren, Z Zhu, N Ramsy, N Pervolarakis, S Kunde, ...
FEMS microbiology ecology 94 (9), fiy133, 2018
842018
Alignment-free sequence comparison based on next-generation sequencing reads
K Song, J Ren, Z Zhai, X Liu, M Deng, F Sun
Journal of computational biology 20 (2), 64-79, 2013
842013
Alignment-free sequence analysis and applications
J Ren, X Bai, YY Lu, K Tang, Y Wang, G Reinert, F Sun
Annual Review of Biomedical Data Science 1, 93-114, 2018
802018
Plex: Towards reliability using pretrained large model extensions
D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ...
arXiv preprint arXiv:2207.07411, 2022
702022
CAFE: aCcelerated Alignment-FrEe sequence analysis
YY Lu, K Tang, J Ren, JA Fuhrman, MS Waterman, F Sun
Nucleic acids research 45 (W1), W554-W559, 2017
672017
Can you trust your model’s uncertainty
Y Ovadia, E Fertig, J Ren, Z Nado, D Sculley, S Nowozin, JV Dillon, ...
evaluating predictive uncertainty under dataset shift, 2019
612019
Prediction of virus-host infectious association by supervised learning methods
M Zhang, L Yang, J Ren, NA Ahlgren, JA Fuhrman, F Sun
BMC bioinformatics 18, 143-154, 2017
472017
Revisiting one-vs-all classifiers for predictive uncertainty and out-of-distribution detection in neural networks
S Padhy, Z Nado, J Ren, J Liu, J Snoek, B Lakshminarayanan
arXiv preprint arXiv:2007.05134, 2020
402020
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