Dissipative particle systems on expanders
 Haslegrave, J Keevash, P Probability Theory and Related Fields (01 Jan 2025)
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
 Weisz, G Amortila, P Janzer, B Abbasi-Yadkori, Y Jiang, N Szepesvári, C Proceedings of Machine Learning Research volume 134 4355-4385 (01 Jan 2021)
Learning sparse neural networks for better generalization
 Liu, S IJCAI International Joint Conference on Artificial Intelligence volume 2021-January 5190-5191 (01 Jan 2020)
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware
 Liu, S Mocanu, D Matavalam, A Pei, Y Pechenizkiy, M Neural Computing and Applications volume 33 issue 7 2589-2604 (01 Apr 2021)
Efficient and effective training of sparse recurrent neural networks
 Liu, S Ni’mah, I Menkovski, V Mocanu, D Pechenizkiy, M Neural Computing and Applications volume 33 issue 15 9625-9636 (01 Aug 2021)
Network Performance Optimization with Real Time Traffic Prediction in Data Center Network
 Yan, F Liu, S Calabretta, N 2020 European Conference on Optical Communications, ECOC 2020 (01 Dec 2020)
Topological Insights into Sparse Neural Networks
 Liu, S Van der Lee, T Yaman, A Atashgahi, Z Ferraro, D Sokar, G Pechenizkiy, M Mocanu, D Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) volume 12459 LNAI 279-294 (01 Jan 2021)
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
 Liu, S Chen, T Chen, X Atashgahi, Z Yin, L Kou, H Shen, L Pechenizkiy, M Wang, Z Mocanu, D Advances in Neural Information Processing Systems volume 12 9908-9922 (01 Jan 2021)
DEEP ENSEMBLING WITH NO OVERHEAD FOR EITHER TRAINING OR TESTING: THE ALL-ROUND BLESSINGS OF DYNAMIC SPARSITY
 Liu, S Chen, T Atashgahi, Z Chen, X Sokar, G Mocanu, E Pechenizkiy, M Wang, Z Mocanu, D ICLR 2022 - 10th International Conference on Learning Representations (01 Jan 2022)
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training
 Yin, L Menkovski, V Fang, M Huang, T Pei, Y Pechenizkiy, M Mocanu, D Liu, S Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022 2267-2277 (01 Jan 2022)
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