Yosef, Nir

8 publications

ICLRW 2025 2DE: A Probabilistic Method for Differential Expression Across Niches in Spatial Transcriptomics Data Nathan Levy, Florian Ingelfinger, Artemy Bakulin, Giacomo Cinnirella, Pierre Boyeau, Can Ergen, Nir Yosef

ICLRW 2025 Ai Agent for Data-Driven Hypothesis Exploration in Single-Cell Transcriptomics Artemy Bakulin, Pierre Boyeau, Nir Yosef

ICML 2025 AutoEval Done Right: Using Synthetic Data for Model Evaluation Pierre Boyeau, Anastasios Nikolas Angelopoulos, Tianle Li, Nir Yosef, Jitendra Malik, Michael I. Jordan

ICLRW 2025 Nolan: Constructing Graph Representation of Tissue Structure with Self-Supervised Learning Artemy Bakulin, Nathan Levy, Can Ergen, Jonas Maaskola, Nir Yosef

ICLRW 2025 Nolan: Self-Supervised Framework for Mapping Continuous Tissue Organization Artemy Bakulin, Nathan Levy, Can Ergen, Jonas Maaskola, Nir Yosef

ICLRW 2024 Scvi-Hub: A Flexible Framework for Reference Enabled Single-Cell Data Analysis Can Ergen, Valeh Valiollah Pour Amiri, Martin Kim, Aaron Streets, Adam Gayoso, Nir Yosef

NeurIPS 2020 Decision-Making with Auto-Encoding Variational Bayes Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier

NeurIPS 2018 Information Constraints on Auto-Encoding Variational Bayes Romain Lopez, Jeffrey Regier, Michael I Jordan, Nir Yosef