Machine Learning Approaches to Multi-Modal Data Integration and Translation in Single-Cell Biology by Yang, Karren

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Learning causal graphs under interventions and applications to single-cell biological data analysis by Yang, Karren Dai.

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Scalable unbalanced optimal transport using generative adversarial networks by Yang, Karren Dai, Uhler, Caroline

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Characterizing and learning equivalence classes of causal DAGs under interventions by Yang, Karren Dai, Katcoff, Abigail, Uhler, Caroline

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Permutation-based Causal Inference Algorithms with Interventions by Wang, Yuhao, Solus, Liam, Yang, Karren Dai, Uhler, Caroline

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ABCD-strategy: Budgeted experimental design for targeted causal structure discovery by Uhler, Caroline, Agrawal, Raj, Squires, Chandler, Yang, Karren, Shanmugam, Karthikeyan

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Predicting cell lineages using autoencoders and optimal transport by Yang, Karren Dai, Damodaran, Karthik, Venkatachalapathy, Saradha, Soylemezoglu, Ali C., Shivashankar, G.V., Uhler, Caroline

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Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis by Yang, Karren, Goldman, Samuel, Jin, Wengong, Lu, Alex X, Barzilay, Regina, Jaakkola, Tommi, Uhler, Caroline

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Causal network models of SARS-CoV-2 expression and aging to identify candidates for drug repurposing by Belyaeva, Anastasiya, Cammarata, Louis, Radhakrishnan, Adityanarayanan, Squires, Chandler, Yang, Karren Dai, Shivashankar, G. V., Uhler, Caroline

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Multi-domain translation between single-cell imaging and sequencing data using autoencoders by Yang, Karren Dai, Belyaeva, Anastasiya, Venkatachalapathy, Saradha, Damodaran, Karthik, Katcoff, Abigail, Radhakrishnan, Adityanarayanan, Shivashankar, GV, Uhler, Caroline

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