Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Jitsev, J
89  Ergebnisse:
Personensuche X
?
1

Adversarial domain adaptation to reduce sample bias of a hi..:

Clavijo, J M ; Glaysher, P ; Jitsev, J.
Machine Learning: Science and Technology.  3 (2021)  1 - p. 015014 , 2021
Link: https://doi.org/10.1088/..
 
?
2

Reproducible Scaling Laws for Contrastive Language-Image Le..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Cherti, Mehdi ; Beaumont, Romain ; Wightman, Ross... - p. 2818-2829 , 2023
Link: https://doi.org/10.1109/..
 
?
3

UTILE-Gen: Automated Image Analysis in Nanoscience Using Sy..:

Colliard-Granero, André ; Jitsev, Jenia ; Eikerling, Michael H...
ACS Nanoscience Au.  3 (2023)  5 - p. 398-407 , 2023
Link: https://doi.org/10.1021/..
 
?
4

Effect of pre-training scale on intra- and inter-domain, fu..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Cherti, Mehdi ; Jitsev, Jenia - p. 1-9 , 2022
Link: https://doi.org/10.1109/..
 
?
5

Deep learning for the automation of particle analysis in ca..:

Colliard-Granero, André ; Batool, Mariah ; Jankovic, Jasna...
Nanoscale.  14 (2022)  1 - p. 10-18 , 2022
Link: https://doi.org/10.1039/..
 
?
6

JUWELS Booster – A Supercomputer for Large-Scale AI Researc:

, In: Lecture Notes in Computer Science; High Performance Computing,
Kesselheim, Stefan ; Herten, Andreas ; Krajsek, Kai... - p. 453-468 , 2021
Link: https://doi.org/10.1007/..
 
?
7

Using physics-informed enhanced super-resolution generative..:

Bode, Mathis ; Gauding, Michael ; Lian, Zeyu...
Proceedings of the Combustion Institute.  38 (2021)  2 - p. 2617-2625 , 2021
Link: https://doi.org/10.1016/..
 
?
8

Convolutional neural networks for high throughput screening..:

Eslamibidgoli, Mohammad J. ; Tipp, Fabian P. ; Jitsev, Jenia...
RSC Advances.  11 (2021)  51 - p. 32126-32134 , 2021
Link: https://doi.org/10.1039/..
 
?
9

Obstacle Tower Without Human Demonstrations: How Far a Deep..:

, In: 2020 IEEE Conference on Games (CoG),
Pleines, Marco ; Jitsev, Jenia ; Preuss, Mike. - p. 447-454 , 2020
Link: https://doi.org/10.1109/..
 
?
10

Prediction of Acoustic Fields Using a Lattice-Boltzmann Met..:

, In: Lecture Notes in Computer Science; High Performance Computing,
Rüttgers, Mario ; Koh, Seong-Ryong ; Jitsev, Jenia.. - p. 81-101 , 2020
Link: https://doi.org/10.1007/..
 
?
11

Remote Sensing Big Data Classification with High Performanc..:

Sedona, Rocco ; Cavallaro, Gabriele ; Jitsev, Jenia...
Remote Sensing.  11 (2019)  24 - p. 3056 , 2019
Link: https://doi.org/10.3390/..
 
?
12

Towards Prediction of Turbulent Flows at High Reynolds Numb..:

, In: Lecture Notes in Computer Science; High Performance Computing,
Bode, Mathis ; Gauding, Michael ; Göbbert, Jens Henrik... - p. 614-623 , 2018
Link: https://doi.org/10.1007/..
 
?
13

Corticostriatal circuit mechanisms of value-based action se..:

Morita, Kenji ; Jitsev, Jenia ; Morrison, Abigail
Behavioural Brain Research.  311 (2016)  - p. 110-121 , 2016
Link: https://doi.org/10.1016/..
 
?
14

ROS-MUSIC toolchain for spiking neural network simulations ..:

Weidel, Philipp ; Duarte, Renato ; Korvasová, Karolína..
BMC Neuroscience.  16 (2015)  S1 - p. , 2015
Link: https://doi.org/10.1186/..
 
?
15

Fast rhythm cycles as atomic fragments of cortical processi..:

Jitsev, Jenia
BMC Neuroscience.  15 (2014)  S1 - p. , 2014
Link: https://doi.org/10.1186/..
 
1-15