Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science von Mocanu, Decebal Constantin, Mocanu, Elena, Stone, Peter, Nguyen, Phuong H., Gibescu, Madeleine, Liotta, Antonio

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Decentralized dynamic understanding of hidden relations in complex networks von Mocanu, Decebal Constantin, Exarchakos, Georgios, Liotta, Antonio

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SpaceNet: Make Free Space for Continual Learning von Sokar, Ghada, Mocanu, Decebal Constantin, Pechenizkiy, Mykola

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Situation-Aware Drivable Space Estimation for Automated Driving von Munoz Sanchez, Manuel, Pogosov, Denis, Silvas, Emilia, Mocanu, Decebal Constantin, Elfring, Jos, van de Molengraft, Rene

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Author Correction: Decentralized dynamic understanding of hidden relations in complex networks von Mocanu, Decebal Constantin, Exarchakos, Georgios, Liotta, Antonio

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A topological insight into restricted Boltzmann machines von Mocanu, Decebal Constantin, Mocanu, Elena, Nguyen, Phuong H., Gibescu, Madeleine, Liotta, Antonio

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Hu-bot: promoting the cooperation between humans and mobile robots von Miras, Karine, Mocanu, Decebal, Eiben, A. E.

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Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders von Atashgahi, Zahra, Sokar, Ghada, van der Lee, Tim, Mocanu, Elena, Mocanu, Decebal Constantin, Veldhuis, Raymond, Pechenizkiy, Mykola

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Unsupervised deep learning for real-time assessment of video streaming services von Torres Vega, Maria, Mocanu, Decebal Constantin, Liotta, Antonio

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Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks von Sokar, Ghada, Mocanu, Decebal Constantin, Pechenizkiy, Mykola

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Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers von Atashgahi, Zahra, Pechenizkiy, Mykola, Veldhuis, Raymond, Mocanu, Decebal Constantin

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Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions von Yaman, Anil, Iacca, Giovanni, Decebal Constantin Mocanu, Coler, Matt, Fletcher, George, Pechenizkiy, Mykola

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Novelty Producing Synaptic Plasticity von Yaman, Anil, Iacca, Giovanni, Decebal Constantin Mocanu, Fletcher, George, Pechenizkiy, Mykola

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Topological Insights into Sparse Neural Networks von Liu, Shiwei, Van der Lee, Tim, Yaman, Anil, Atashgahi, Zahra, Ferraro, Davide, Sokar, Ghada, Pechenizkiy, Mykola, Mocanu, Decebal Constantin

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Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science von Decebal Constantin Mocanu, Mocanu, Elena, Stone, Peter, Nguyen, Phuong H, Gibescu, Madeleine, Liotta, Antonio

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A topological insight into restricted Boltzmann machines von Decebal Constantin Mocanu, Mocanu, Elena, Nguyen, Phuong H, Gibescu, Madeleine, Liotta, Antonio

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Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines von Decebal Constantin Mocanu, Haitham Bou Ammar, Puig, Luis, Eaton, Eric, Liotta, Antonio

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Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training von Nowak, Aleksandra I, Grooten, Bram, Mocanu, Decebal Constantin, Tabor, Jacek

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Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers von Atashgahi, Zahra, Pechenizkiy, Mykola, Veldhuis, Raymond, Mocanu, Decebal Constantin

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LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration von Oerlemans, Camiel, Grooten, Bram, Braat, Michiel, Alassi, Alaa, Silvas, Emilia, Mocanu, Decebal Constantin

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