| 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 | 19 | 2021 |
| 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 | 10 | 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, 2021 | 3 | 2021 |
| Use All Your Skills, Not Only The Most Popular Ones F Lorenzo, S Asadi, A Karnsund, L Cao, T Wang, AH Payberah 2020 IEEE Conference on Games (CoG), 682-685, 2020 | 3 | 2020 |
| CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems T Wang, AH Payberah, V Vlassov 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 2 | 2020 |
| Machine learning for constraint programming T Wang | 2 | 2019 |
| Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement T Wang, AH Payberah, DH Hagos, V Vlassov IFIP International Conference on Distributed Applications and Interoperable …, 2022 | 1* | 2022 |
| Node Context Selection in Transformer-Based Graph Representation Learning Models T Wang, AH Payberah, V Vlassov 2022 IEEE International Conference on Big Data (Big Data), 4625-4634, 2022 | | 2022 |
| 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 | | 2022 |
| Generalized Reinforcement Learning for Gameplay FV Lorenzo, S Asadi, A Karnsund, T Wang, AH Payberah | | |
Vladimir VlassovProfessor in Computer Systems, KTH Royal Institute of TechnologyVerified email at kth.se
