Nir Yosef

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 14

Top Topics

Variational Bayes

Top Venues

Publications

Pierre Boyeau, Anastasios N. Angelopoulos, Nir Yosef, Jitendra Malik, Michael I. Jordan
AutoEval Done Right: Using Synthetic Data for Model Evaluation. CoRR (2024)
Elior Rahmani, Michael I. Jordan, Nir Yosef
Identifying Systematic Variation at the Single-Cell Level by Leveraging Low-Resolution Population-Level Data. RECOMB (2022)
Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier
Decision-Making with Auto-Encoding Variational Bayes. NeurIPS (2020)
Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier
Decision-Making with Auto-Encoding Variational Bayes. CoRR (2020)
Valentine Svensson, Adam Gayoso, Nir Yosef, Lior Pachter
Interpretable factor models of single-cell RNA-seq via variational autoencoders. Bioinform. 36 (11) (2020)
Jimmy Wu, Alex Khodaverdian, Benjamin Weitz, Nir Yosef
Connectivity problems on heterogeneous graphs. Algorithms Mol. Biol. 14 (1) (2019)
Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. CoRR (2019)
Romain Lopez, Jeffrey Regier, Nir Yosef, Michael I. Jordan
Information Constraints on Auto-Encoding Variational Bayes. CoRR (2018)
Maxime Langevin, Edouard Mehlman, Jeffrey Regier, Romain Lopez, Michael I. Jordan, Nir Yosef
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels. CoRR (2018)
Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef
Information Constraints on Auto-Encoding Variational Bayes. NeurIPS (2018)
Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef
A deep generative model for gene expression profiles from single-cell RNA sequencing. CoRR (2017)
Jil Sander, Joachim L. Schultze, Nir Yosef
ImpulseDE: detection of differentially expressed genes in time series data using impulse models. Bioinform. 33 (5) (2017)
David DeTomaso, Nir Yosef
FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data. BMC Bioinform. 17 (2016)
Benjamin Weitz, Jimmy Wu, Nir Yosef
Offline Directed Steiner Network Problems on Dynamic Graphs. CoRR (2016)
Jens Gramm, Richard M. Karp, William S. Noble, Roded Sharan, Qianfei Wang, Nir Yosef
Prediction of Phenotype Information from Genotype Data. Commun. Inf. Syst. 10 (2) (2010)
Tal Peleg, Nir Yosef, Eytan Ruppin, Roded Sharan
Network-Free Inference of Knockout Effects in Yeast. PLoS Comput. Biol. 6 (1) (2010)
Nir Yosef, Roded Sharan, William Stafford Noble
Improved network-based identification of protein orthologs. ECCB (2008)
Nir Yosef, Zohar Yakhini, Anya Tsalenko, Vessela N. Kristensen, Anne-Lise Børresen-Dale, Eytan Ruppin, Roded Sharan
A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data. Bioinform. 23 (2) (2007)
Nir Yosef, Alon Kaufman, Eytan Ruppin
Inferring Functional Pathways from Multi-Perturbation Data. ISMB (Supplement of Bioinformatics) (2006)