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Caroline Uhler

Showing results (11-20 of 52) with videos related to

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Biorxiv : the Preprint Server for Biology|June 12, 2025
Learning Genetic Perturbation Effects with Variational Causal InferenceEmily Liu, Jiaqi Zhang, Caroline Uhler
Proceedings of the National Academy of Sciences of the United States of America|October 17, 2020
Overparameterized neural networks implement associative memoryAdityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
Biorxiv : the Preprint Server for Biology|December 18, 2023
Synthetic Lethality Screening with Recursive Feature MachinesCathy Cai, Adityanarayanan Radhakrishnan, Caroline Uhler
Proceedings of the National Academy of Sciences of the United States of America|March 30, 2023
Wide and deep neural networks achieve consistency for classificationAdityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
Nature Computational Science|February 25, 2026
Partially shared multi-modal embedding learns holistic representation of cell stateXinyi Zhang, G V Shivashankar, Caroline Uhler
Biorxiv : the Preprint Server for Biology|July 9, 2025
MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data ModalitiesChujun He, Jiaqi Zhang, Munther Dahleh, et al.
Biorxiv : the Preprint Server for Biology|December 18, 2023
Adhesome Receptor Clustering is Accompanied by the Colocalization of the Associated Genes in the Cell NucleusLouis V Cammarata, Caroline Uhler, G V Shivashankar
Proceedings of the National Academy of Sciences of the United States of America|April 12, 2022
Simple, fast, and flexible framework for matrix completion with infinite width neural networksAdityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin, et al.
Arxiv|December 11, 2023
Removing Biases from Molecular Representations via Information MaximizationChenyu Wang, Sharut Gupta, Caroline Uhler, et al.
Nature Communications|December 3, 2022
Graph-based autoencoder integrates spatial transcriptomics with chromatin images and identifies joint biomarkers for Alzheimer's diseaseXinyi Zhang, Xiao Wang, G V Shivashankar, et al.
Pageof 6

Showing results (11-20 of 52) with videos related to

Sort By:
Pageof 6
Biorxiv : the Preprint Server for Biology|June 12, 2025
Learning Genetic Perturbation Effects with Variational Causal InferenceEmily Liu, Jiaqi Zhang, Caroline Uhler
Proceedings of the National Academy of Sciences of the United States of America|October 17, 2020
Overparameterized neural networks implement associative memoryAdityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
Biorxiv : the Preprint Server for Biology|December 18, 2023
Synthetic Lethality Screening with Recursive Feature MachinesCathy Cai, Adityanarayanan Radhakrishnan, Caroline Uhler
Proceedings of the National Academy of Sciences of the United States of America|March 30, 2023
Wide and deep neural networks achieve consistency for classificationAdityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
Nature Computational Science|February 25, 2026
Partially shared multi-modal embedding learns holistic representation of cell stateXinyi Zhang, G V Shivashankar, Caroline Uhler
Biorxiv : the Preprint Server for Biology|July 9, 2025
MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data ModalitiesChujun He, Jiaqi Zhang, Munther Dahleh, et al.
Biorxiv : the Preprint Server for Biology|December 18, 2023
Adhesome Receptor Clustering is Accompanied by the Colocalization of the Associated Genes in the Cell NucleusLouis V Cammarata, Caroline Uhler, G V Shivashankar
Proceedings of the National Academy of Sciences of the United States of America|April 12, 2022
Simple, fast, and flexible framework for matrix completion with infinite width neural networksAdityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin, et al.
Arxiv|December 11, 2023
Removing Biases from Molecular Representations via Information MaximizationChenyu Wang, Sharut Gupta, Caroline Uhler, et al.
Nature Communications|December 3, 2022
Graph-based autoencoder integrates spatial transcriptomics with chromatin images and identifies joint biomarkers for Alzheimer's diseaseXinyi Zhang, Xiao Wang, G V Shivashankar, et al.
Pageof 6