Követés
Decebal Constantin Mocanu
Decebal Constantin Mocanu
Associate Professor in Machine Learning, University of Luxembourg, TU Eindhoven
E-mail megerősítve itt: uni.lu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
DC Mocanu, E Mocanu, P Stone, PH Nguyen, M Gibescu, A Liotta
Nature communications (19 June 2018), arXiv:1707.04780, 2017
7722017
On-line building energy optimization using deep reinforcement learning
E Mocanu, DC Mocanu, PH Nguyen, A Liotta, ME Webber, M Gibescu, ...
IEEE transactions on smart grid 10 (4), 3698-3708, 2018
6612018
More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity
S Liu, T Chen, X Chen, X Chen, Q Xiao, B Wu, T Kärkkäinen, ...
ICLR 2023, The Eleventh International Conference on Learning Representations …, 2023
2192023
Do we actually need dense over-parameterization? in-time over-parameterization in sparse training
S Liu, L Yin, DC Mocanu, M Pechenizkiy
ICML 2021, Thirty-eighth International Conference on Machine Learning, 2021
1462021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ...
NeurIPS 2021, Thirty-fifth Conference on Neural Information Processing …, 2021
1392021
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
S Liu, T Chen, X Chen, L Shen, DC Mocanu, Z Wang, M Pechenizkiy
ICLR 2022, The Tenth International Conference on Learning Representations …, 2022
1302022
A topological insight into restricted Boltzmann machines
DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta
Machine Learning 104 (2), 243--270, 2016
1212016
An automated measure of mdp similarity for transfer in reinforcement learning
HB Ammar, E Eaton, ME Taylor, DC Mocanu, K Driessens, G Weiss, ...
Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
1172014
Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance
F Cauteruccio, G Fortino, A Guerrieri, A Liotta, DC Mocanu, C Perra, ...
Information Fusion 52, 13-30, 2019
1112019
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware
S Liu, DC Mocanu, ARR Matavalam, Y Pei, M Pechenizkiy
Neural Computing and Applications (6 July 2020) 33 (7), 2589-2604, 2019
1032019
SpaceNet: Make Free Space For Continual Learning
G Sokar, DC Mocanu, M Pechenizkiy
Neurocomputing 439 (7 June 2021), 1-11, 2020
822020
Deep learning for quality assessment in live video streaming
MT Vega, DC Mocanu, J Famaey, S Stavrou, A Liotta
IEEE signal processing letters 24 (6), 736-740, 2017
812017
Big IoT data mining for real-time energy disaggregation in buildings
DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
632016
Automatically mapped transfer between reinforcement learning tasks via three-way restricted boltzmann machines
HB Ammar, DC Mocanu, ME Taylor, K Driessens, K Tuyls, G Weiss
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
63*2013
Towards ABAC Policy Mining from Logs with Deep Learning
DC Mocanu, F Turkmen, A Liotta
18th International Multiconference, IS 2015, Intelligent Systems, Ljubljana …, 2015
622015
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 …, 2022
612022
Factored Four Way Conditional Restricted Boltzmann Machines for Activity Recognition (Type B Paper)
DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta, G Weiss, K Tuyls
Proceedings of the 27th Benelux Conference on Artificial Intelligence …, 2015
55*2015
Predictive no-reference assessment of video quality
MT Vega, DC Mocanu, S Stavrou, A Liotta
Signal Processing: Image Communication 52, 20-32, 2017
532017
Efficient and effective training of sparse recurrent neural networks
S Liu, I Ni’mah, V Menkovski, DC Mocanu, M Pechenizkiy
Neural Computing and Applications, 1-12, 2021
51*2021
Selfish sparse RNN training
S Liu, DC Mocanu, Y Pei, M Pechenizkiy
ICML 2021, Thirty-eighth International Conference on Machine Learning, 2021
462021
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Cikkek 1–20