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1. Understanding the Convergence in Balanced Resonate-and-Fire Neurons

2. Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection

3. Balanced Resonate-and-Fire Neurons

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

5. Developing Object Permanence from Videos

6. Loci-Segmented: Improving Scene Segmentation Learning

7. Learning Object Permanence from Videos via Latent Imaginations

9. The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory

10. Inductive biases in deep learning models for weather prediction

13. Efficient LSTM Training with Eligibility Traces

14. A Taxonomy of Recurrent Learning Rules

15. Generating Sparse Counterfactual Explanations For Multivariate Time Series

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

17. Inference of Affordances and Active Motor Control in Simulated Agents

18. Composing Partial Differential Equations with Physics-Aware Neural Networks

19. Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification

20. Latent Event-Predictive Encodings through Counterfactual Regularization

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