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Felipe Llinares-López
Felipe Llinares-López
Google Research, Brain Team
Verified email at google.com
Title
Cited by
Cited by
Year
Wasserstein weisfeiler-lehman graph kernels
M Togninalli, E Ghisu, F Llinares-López, B Rieck, K Borgwardt
Advances in Neural Information Processing Systems 32, 2019
1302019
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
1112015
Fast and memory-efficient significant pattern mining via permutation testing
F Llinares-López, M Sugiyama, L Papaxanthos, K Borgwardt
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
632015
graphkernels: R and Python packages for graph comparison
M Sugiyama, ME Ghisu, F Llinares-López, K Borgwardt
Bioinformatics 34 (3), 530-532, 2018
572018
Graph kernels: State-of-the-art and future challenges
K Borgwardt, E Ghisu, F Llinares-López, L O’Bray, B Rieck
Foundations and Trends® in Machine Learning 13 (5-6), 531-712, 2020
532020
Efficient and modular implicit differentiation
M Blondel, Q Berthet, M Cuturi, R Frostig, S Hoyer, F Llinares-López, ...
arXiv preprint arXiv:2105.15183, 2021
502021
Significant subgraph mining with multiple testing correction
M Sugiyama, FL López, N Kasenburg, KM Borgwardt
Proceedings of the 2015 SIAM International Conference on Data Mining, 37-45, 2015
49*2015
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits
F Llinares-López, DG Grimm, DA Bodenham, U Gieraths, M Sugiyama, ...
Bioinformatics 31 (12), i240-i249, 2015
382015
Finding significant combinations of features in the presence of categorical covariates
L Papaxanthos, F Llinares-López, D Bodenham, K Borgwardt
Advances in neural information processing systems 29, 2016
352016
Genome-wide genetic heterogeneity discovery with categorical covariates
F Llinares-López, L Papaxanthos, D Bodenham, D Roqueiro, ...
Bioinformatics 33 (12), 1820-1828, 2017
182017
Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma
Y Liu, M Brossard, C Sarnowski, A Vaysse, M Moffatt, ...
Scientific reports 7 (1), 1-10, 2017
182017
CASMAP: detection of statistically significant combinations of SNPs in association mapping
F Llinares-López, L Papaxanthos, D Roqueiro, D Bodenham, K Borgwardt
Bioinformatics 35 (15), 2680-2682, 2019
112019
Deepconsensus: Gap-aware sequence transformers for sequence correction
G Baid, DE Cook, K Shafin, T Yun, F Llinares-Lopez, Q Berthet, ...
BioRxiv, 2021
82021
Deep embedding and alignment of protein sequences
F Llinares-López, Q Berthet, M Blondel, O Teboul, JP Vert
bioRxiv, 2021
52021
Machine learning for biomarker discovery: significant pattern mining
F Llinares-Lopez, K Borgwardt
Analyzing Network Data in Biology and Medicine: An Interdisciplinary …, 2019
52019
Significant Pattern Mining for Biomarker Discovery
F Llinares-López
ETH Zurich, 2018
32018
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer
G Baid, DE Cook, K Shafin, T Yun, F Llinares-López, Q Berthet, ...
Nature Biotechnology, 1-7, 2022
22022
Direct Antimicrobial Resistance Prediction from MALDI-TOF mass spectra profile in clinical isolates through Machine Learning
C Weis, A Cuénod, B Rieck, F Llinares-López, O Dubuis, S Graf, C Lang, ...
bioRxiv 1, 1-35, 2020
12020
Interference-aware MIMO precoder design with realistic power constraints
F Llinares-López, M Sánchez-Fernández, E Parrado-Hernandez, ...
2013 IEEE International Conference on Communications Workshops (ICC), 164-168, 2013
12013
Learning Energy Networks with Generalized Fenchel-Young Losses
M Blondel, F Llinares-López, R Dadashi, L Hussenot, M Geist
arXiv preprint arXiv:2205.09589, 2022
2022
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Articles 1–20