I agree that this site is using cookies. You can find further informations here.
X
Mukherjee, Sach
132  results:
Search for persons X
?
1

Challenges of deep unsupervised optical flow estimation for..:

Lagemann, Christian ; Lagemann, Kai ; Mukherjee, Sach.
Experiments in Fluids.  65 (2024)  3 - p. , 2024
Link: https://doi.org/10.1007/..
 
?
2

Development and validation of a reliable DNA copy-number-ba..:

Young, Cameron C. ; Eason, Katherine ; Manzano Garcia, Raquel...
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
?
3

Improved baselines for causal structure learning on interve..:

Richter, Robin ; Bhamidi, Shankar ; Mukherjee, Sach
Statistics and Computing.  33 (2023)  5 - p. , 2023
Link: https://doi.org/10.1007/..
 
?
4

Deep learning of causal structures in high dimensions under..:

Lagemann, Kai ; Lagemann, Christian ; Taschler, Bernd.
Nature Machine Intelligence.  5 (2023)  11 - p. 1306-1316 , 2023
Link: https://doi.org/10.1038/..
 
?
5

Human variation in population-wide gene expression data pre..:

Bonaguro, Lorenzo ; Schulte-Schrepping, Jonas ; Carraro, Caterina...
iScience.  25 (2022)  11 - p. 105328 , 2022
Link: https://doi.org/10.1016/..
 
?
6

Generalization of deep recurrent optical flow estimation fo..:

Lagemann, Christian ; Lagemann, Kai ; Mukherjee, Sach.
Measurement Science and Technology.  33 (2022)  9 - p. 094003 , 2022
Link: https://doi.org/10.1088/..
 
?
7

Decoding mechanism of action and sensitivity to drug candid..:

Carraro, Caterina ; Bonaguro, Lorenzo ; Schulte-Schrepping, Jonas...
eLife.  11 (2022)  - p. , 2022
Link: https://doi.org/10.7554/..
 
?
8

Tailored Bayes: a risk modeling framework under unequal mis..:

Karapanagiotis, Solon ; Benedetto, Umberto ; Mukherjee, Sach..
Biostatistics.  24 (2021)  1 - p. 85-107 , 2021
Link: https://doi.org/10.1093/..
 
?
9

Deep recurrent optical flow learning for particle image vel..:

Lagemann, Christian ; Lagemann, Kai ; Mukherjee, Sach.
Nature Machine Intelligence.  3 (2021)  7 - p. 641-651 , 2021
Link: https://doi.org/10.1038/..
 
?
10

Scalable Prediction of Acute Myeloid Leukemia Using High-Di..:

Warnat-Herresthal, Stefanie ; Perrakis, Konstantinos ; Taschler, Bernd...
iScience.  23 (2020)  1 - p. 100780 , 2020
Link: https://doi.org/10.1016/..
 
?
11

Scalable Bayesian Regression in High Dimensions With Multip..:

Perrakis, Konstantinos ; Mukherjee, Sach ; The Alzheimer's Disease Neuroimaging Initiative
Journal of Computational and Graphical Statistics.  29 (2019)  1 - p. 28-39 , 2019
Link: https://doi.org/10.1080/..
 
?
12

High-dimensional regression in practice: an empirical study..:

Wang, Fan ; Mukherjee, Sach ; Richardson, Sylvia.
Statistics and Computing.  30 (2019)  3 - p. 697-719 , 2019
Link: https://doi.org/10.1007/..
 
?
13

SCCA-Ref: Novel Sparse Canonical Correlation Analysis with ..:

, In: Machine Learning in Medical Imaging; Lecture Notes in Computer Science,
Sanroma, Gerard ; Rutten-Jacobs, Loes ; Lohner, Valerie... - p. 81-88 , 2018
Link: https://doi.org/10.1007/..
 
?
14

The joint lasso: high-dimensional regression for group stru..:

Dondelinger, Frank ; Mukherjee, Sach ; The Alzheimer's Disease Neuroimaging Initiative
Biostatistics.  21 (2018)  2 - p. 219-235 , 2018
Link: https://doi.org/10.1093/..
 
?
15

Correction: Decoupling of the PI3K Pathway via Mutation Nec..:

Korkola, James E. ; Collisson, Eric A. ; Heiser, Laura M....
PLOS ONE.  12 (2017)  10 - p. e0186551 , 2017
Link: https://doi.org/10.1371/..
 
1-15