| SpaceNet: Make Free Space For Continual Learning G Sokar, DC Mocanu, M Pechenizkiy Elsevier Neurocomputing Journal, 2020 | 42 | 2020 |
| Topological Insights in Sparse Neural Networks S Liu, T Van der Lee, A Yaman, Z Atashgahi, D Ferraro, G Sokar, ... ECML PKDD 2020, 2020 | 23* | 2020 |
| Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity S Liu, T Chen, Z Atashgahi, X Chen, G Sokar, E Mocanu, M Pechenizkiy, ... ICLR 2022.The Tenth International Conference on Learning Representations, 2021 | 19 | 2021 |
| A generic OCR using deep siamese convolution neural networks G Sokar, EE Hemayed, M Rehan 2018 IEEE 9th Annual Information Technology, Electronics and Mobile …, 2018 | 16 | 2018 |
| Dynamic Sparse Training for Deep Reinforcement Learning G Sokar, E Mocanu, DC Mocanu, M Pechenizkiy, P Stone IJCAI-ECAI 2022. The 31st International Joint Conference on Artificial …, 2021 | 14 | 2021 |
| Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders Z Atashgahi, G Sokar, T van der Lee, E Mocanu, DC Mocanu, R Veldhuis, ... Machine Learning, 1-38, 2022 | 13 | 2022 |
| Self-Attention Meta-Learner for Continual Learning G Sokar, DC Mocanu, M Pechenizkiy AAMAS 2021. 20th International Conference on Autonomous Agents and …, 2021 | 11 | 2021 |
| Learning Invariant Representation for Continual Learning G Sokar, DC Mocanu, M Pechenizkiy AAAI Workshop on Meta-Learning for Computer Vision (AAAI-2021), 2020 | 11 | 2020 |
| Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders Z Atashgahi, G Sokar, T van der Lee, E Mocanu, DC Mocanu, R Veldhuis, ... Machine Learning Journal, 2020 | 10 | 2020 |
| Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks G Sokar, DC Mocanu, M Pechenizkiy ECMLPKDD2022, 2021 | 4* | 2021 |
| The Dormant Neuron Phenomenon in Deep Reinforcement Learning G Sokar, R Agarwal, PS Castro, U Evci ICML2023, International Conference on Machine Learning, 2023 | 3 | 2023 |
| Where to Pay Attention in Sparse Training for Feature Selection? G Sokar, Z Atashgahi, M Pechenizkiy, DC Mocanu NeurIPS2022, 36th Annual Conference on Neural Information Processing Systems, 2022 | 3 | 2022 |
| FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity S Liu, T Chen, Z Atashgahi, X Chen, G Sokar, E Mocanu, M Pechenizkiy, ... ICLR 2022.The Tenth International Conference on Learning Representations, 2021 | 2 | 2021 |
| Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning B Grooten, G Sokar, S Dohare, E Mocanu, ME Taylor, M Pechenizkiy, ... AAMAS 2023. 22nd International Conference on Autonomous Agents and …, 2023 | | 2023 |
| Towards Implementing Truly Sparse Connections in Deep RL Agents B Grooten, G Sokar, E Mocanu, S Dohare, M Taylor, M Pechenizkiy, ... Sparsity in Neural Networks: Advancing Understanding and Practice 2022, 2022 | | 2022 |
| SpaceNet: Make Free Space For Continual Learning (Poster) GAZN Sokar, DC Mocanu, M Pechenizkiy Sparsity in Neural Networks: Advancing Understanding and Practice 2021, 2021 | | 2021 |
| Dynamic Sparse Training for Deep Reinforcement Learning (Poster) GAZN Sokar, E Mocanu, DC Mocanu, M Pechenizkiy, P Stone Sparsity in Neural Networks: Advancing Understanding and Practice 2021, 2021 | | 2021 |
| Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders (poster) Z Atashgahi, GAZN Sokar, T van der Lee, E Mocanu, DC Mocanu, ... Sparsity in Neural Networks: Advancing Understanding and Practice 2021, 2021 | | 2021 |
| Continual Lifelong Learning for Intelligent Agents G Sokar IJCAI 2021. International Joint Conferences on Artifical Intelligence (IJCAI), 2021 | | 2021 |
| IP Session on Machine Learning Applications in IC Test-Related Tasks G Sokar, Y Zakaria, A Rabie, K Madkour, I Leventhal, J Rivoir, X Gu, ... 2019 IEEE 37th VLSI Test Symposium (VTS), 1-1, 2019 | | 2019 |
Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU EindhovenVerified email at uni.lu
