Mohammad Lotfollahi

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201720182019202020211 25 75 156 7

Fabian J TheisHelmholtz Zentrum München, GermanyVerified email at helmholtz-muenchen.de
F. Alexander WolfCellarityVerified email at cellarity.com
Mahdi Jafari SiavoshaniAssistant Professor, Sharif University of TechnologyVerified email at sharif.edu
Žiga AvsecDeepMindVerified email at google.com
Alexander MisharinNorthwestern UniversityVerified email at northwestern.edu
Maren BüttnerPostdoctoral researcher, Helmholtz Center MunichVerified email at helmholtz-muenchen.de
Malte D. LueckenPostdoctoral Researcher, Institue for Computational Biology, Helmholtz Center MunichVerified email at helmholtz-muenchen.de

Mohammad Lotfollahi

Verified email at helmholtz-muenchen.de


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep packet: A novel approach for encrypted traffic classification using deep learning M Lotfollahi, MJ Siavoshani, RSH Zade, M Saberian Soft Computing, 1-14, 2019	211	2019
scGen predicts single-cell perturbation responses M Lotfollahi, FA Wolf, FJ Theis Nature methods 16 (8), 715, 2019	47*	2019
Conditional out-of-distribution generation for unpaired data using transfer VAE M Lotfollahi, M Naghipourfar, FJ Theis, FA Wolf Bioinformatics 36 (Supplement_2), i610–i617, 2020	4*	2020
Query to reference single-cell integration with transfer learning M Lotfollahi, M Naghipourfar, MD Luecken, M Khajavi, M Buttner, Z Avsec, ... bioRxiv, 2020	4	2020
Out-of-distribution prediction with disentangled representations for single-cell RNA sequencing data M Lotfollahi, L Dony, H Agarwala, F Theis ICML workshop in Computational Biology, 2020		2020
Learning interpretable latent autoencoder representations with annotations of feature sets S Rybakov, M Lotfollahi, FJ Theis, FA Wolf bioRxiv, 2020		2020

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