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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, (2023 (accepted))

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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)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)Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models., , and . ICANN (1), volume 10613 of Lecture Notes in Computer Science, page 262-270. Springer, (2017)Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks., , , and . ICANN (1), volume 10613 of Lecture Notes in Computer Science, page 227-235. Springer, (2017)