Caroline Uhler
Cited by
Cited by
A complete Neandertal mitochondrial genome sequence determined by high-throughput sequencing
RE Green, AS Malaspinas, J Krause, AW Briggs, PLF Johnson, C Uhler, ...
Cell 134 (3), 416-426, 2008
Regulation of genome organization and gene expression by nuclear mechanotransduction
C Uhler, GV Shivashankar
Nature reviews Molecular cell biology 18 (12), 717-727, 2017
Geometry of the faithfulness assumption in causal inference
C Uhler, G Raskutti, P Bühlmann, B Yu
The Annals of Statistics, 436-463, 2013
Privacy-preserving data sharing for genome-wide association studies
C Uhler, A Slavković, SE Fienberg
The Journal of privacy and confidentiality 5 (1), 137, 2013
Scalable privacy-preserving data sharing methodology for genome-wide association studies
F Yu, SE Fienberg, AB Slavković, C Uhler
Journal of biomedical informatics 50, 133-141, 2014
Multi-domain translation between single-cell imaging and sequencing data using autoencoders
KD Yang, A Belyaeva, S Venkatachalapathy, K Damodaran, A Katcoff, ...
Nature communications 12 (1), 31, 2021
Permutation-based causal inference algorithms with interventions
Y Wang, L Solus, KD Yang, C Uhler
Advances in Neural Information Processing Systems 30, 2017
Privacy preserving GWAS data sharing
SE Fienberg, A Slavkovic, C Uhler
2011 IEEE 11th International Conference on Data Mining Workshops, 628-635, 2011
Orientation and repositioning of chromosomes correlate with cell geometry–dependent gene expression
Y Wang, M Nagarajan, C Uhler, GV Shivashankar
Molecular biology of the cell 28 (14), 1997-2009, 2017
Learning directed acyclic graph models based on sparsest permutations
G Raskutti, C Uhler
Stat 7 (1), e183, 2018
Nuclear mechanopathology and cancer diagnosis
C Uhler, GV Shivashankar
Trends in cancer 4 (4), 320-331, 2018
Overparameterized neural networks implement associative memory
A Radhakrishnan, M Belkin, C Uhler
Proceedings of the National Academy of Sciences 117 (44), 27162-27170, 2020
Consistency guarantees for greedy permutation-based causal inference algorithms
L Solus, Y Wang, C Uhler
Biometrika 108 (4), 795-814, 2021
Multivariate Gaussians, semidefinite matrix completion, and convex algebraic geometry
B Sturmfels, C Uhler
Annals of the Institute of Statistical Mathematics 62 (4), 603-638, 2010
Characterizing and learning equivalence classes of causal dags under interventions
KD Yang, A Katcoff, C Uhler
Proceedings of Machine Learning Research 80, 5537-5546, 2018
Multiscale simulations of complex systems by learning their effective dynamics
PR Vlachas, G Arampatzis, C Uhler, P Koumoutsakos
Nature Machine Intelligence 4 (4), 359-366, 2022
Geometry of maximum likelihood estimation in Gaussian graphical models
C Uhler
University of California, Berkeley, 2011
Total positivity in Markov structures
S Fallat, S Lauritzen, K Sadeghi, C Uhler, N Wermuth, P Zwiernik
The Annals of Statistics, 1152-1184, 2017
Permutation-based causal structure learning with unknown intervention targets
C Squires, Y Wang, C Uhler
Conference on Uncertainty in Artificial Intelligence, 1039-1048, 2020
Maximum likelihood estimation in Gaussian models under total positivity
S Lauritzen, C Uhler, P Zwiernik
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