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1. Balanced Resonate-and-Fire Neurons

2. Representation Learning of Multivariate Time Series using Attention and Adversarial Training

4. Learning Object Permanence from Videos via Latent Imaginations

5. Loci-Segmented: Improving Scene Segmentation Learning

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

8. Inductive biases in deep learning models for weather prediction

10. Inductive biases in deep learning models for weather prediction

11. Learning Groundwater Contaminant Diffusion‐Sorption Processes With a Finite Volume Neural Network

13. Efficient LSTM Training with Eligibility Traces

16. Inference of affordances and active motor control in simulated agents.

17. Generating Sparse Counterfactual Explanations For Multivariate Time Series

18. Learning What and Where: Disentangling Location and Identity Tracking Without Supervision

20. A Taxonomy of Recurrent Learning Rules

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