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Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling


Nov 09, 2022
Romain Lopez, Nataša Tagasovska, Stephen Ra, Kyunghyn Cho, Jonathan K. Pritchard, Aviv Regev

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Large-Scale Differentiable Causal Discovery of Factor Graphs


Jun 15, 2022
Romain Lopez, Jan-Christian Hütter, Jonathan K. Pritchard, Aviv Regev

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* 29 pages, 8 figures 

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Inference of cell dynamics on perturbation data using adjoint sensitivity


Apr 13, 2021
Weiqi Ji, Bo Yuan, Ciyue Shen, Aviv Regev, Chris Sander, Sili Deng

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* Accepted as a workshop paper at ICLR 2021 SimDL Workshop 

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Reconstructing probabilistic trees of cellular differentiation from single-cell RNA-seq data


Nov 28, 2018
Miriam Shiffman, William T. Stephenson, Geoffrey Schiebinger, Jonathan Huggins, Trevor Campbell, Aviv Regev, Tamara Broderick

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* 18 pages, 6 figures. Preliminary work appeared in the 2017 NeurIPS workshops in Advances in Approximate Bayesian Inference (http://approximateinference.org/2017) and Machine Learning for Computational Biology (https://mlcb.github.io

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Learning Module Networks


Oct 19, 2012
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman

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* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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