Sina Sheikholeslami
Sina Sheikholeslami
Distributed Computing Group, KTH
Verified email at - Homepage
Cited by
Cited by
AutoAblation: Automated Parallel Ablation Studies for Deep Learning
S Sheikholeslami, M Meister, T Wang, AH Payberah, V Vlassov, ...
Proceedings of the 1st Workshop on Machine Learning and Systems, 55-61, 2021
Ablation Programming for Machine Learning
S Sheikholeslami
KTH Royal Institute of Technology, 2019
Siamese neural networks for detecting complementary products
M Angelovska, S Sheikholeslami, B Dunn, AH Payberah
Proceedings of the 16th conference of the European chapter of the …, 2021
Maggy: Scalable Asynchronous Parallel Hyperparameter Search
M Meister, S Sheikholeslami, AH Payberah, V Vlassov, J Dowling
Proceedings of the 1st Workshop on Distributed Machine Learning, 28-33, 2020
ExtremeEarth Meets Satellite Data from Space
DH Hagos, T Kakantousis, V Vlassov, S Sheikholeslami, T Wang, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
Towards Distribution Transparency for Supervised ML With Oblivious Training Functions
M Meister, S Sheikholeslami, R Andersson, AA Ormenisan, J Dowling
Workshop on MLOps Systems, 2020
Artificial Intelligence and Big Data Technologies for Copernicus Data: The ExtremeEarth Project
M Koubarakis, G Stamoulis, D Bilidas, T Ioannidis, G Mandilaras, ...
Proceedings of the 2021 Conference on Big Data from Space (BiDS'21), 9-12, 2021
The ExtremeEarth Software Architecture for Copernicus Earth Observation Data
DH Hagos, T Kakantousis, V Vlassov, S Sheikholeslami, T Wang, ...
Proceedings of the 2021 Conference on Big Data from Space (BiDS'21), 181-185, 2021
The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks
S Sheikholeslami, AH Payberah, T Wang, J Dowling, V Vlassov
🏆 IFIP International Conference on Distributed Applications and …, 2023
Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks
DH Hagos, T Kakantousis, S Sheikholeslami, T Wang, V Vlassov, ...
Remote Sensing 14 (8), 1889, 2022
Cloud-native RStudio on Kubernetes for Hopsworks
G Chikafa, S Sheikholeslami, S Niazi, J Dowling, V Vlassov
Advances in Parallel & Distributed Processing, and Applications, 2022
A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation
A Asratyan, S Sheikholeslami, V Vlassov
2021 IEEE International Conference on Big Data (Big Data), 306-314, 2021
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