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The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory

, , , , , and . Neural networks, 166 (September): 85-104 (2023)
DOI: 10.1016/j.neunet.2023.06.036

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Optimizing recurrent reservoirs with neuro-evolution., , , , , and . Neurocomputing, (2016)Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots., , , and . ICRA, page 5603-5608. IEEE, (2016)Learning, planning, and control in a monolithic neural event inference architecture., , , , and . Neural Networks, (2019)Vector-AMCL: Vector Based Adaptive Monte Carlo Localization for Indoor Maps., , , and . IAS, volume 531 of Advances in Intelligent Systems and Computing, page 403-416. (2016)Finite Volume Neural Network : Modeling Subsurface Contaminant Transport, , , , , and . ICLR 2021 : Ninth International Conference on Learning Representations, Cornell University, (2021)Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture., , , , and . CoRR, (2018)Local Feature Based Online Mode Detection with Recurrent Neural Networks., , , and . ICFHR, page 533-537. IEEE Computer Society, (2012)Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition., , , and . ICANN (2), volume 9887 of Lecture Notes in Computer Science, page 29-37. Springer, (2016)Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms., , and . ICANN (3), volume 11141 of Lecture Notes in Computer Science, page 748-758. Springer, (2018)Gradient-Based Learning of Compositional Dynamics with Modular RNNs., , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 484-496. Springer, (2019)