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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

7. Learning Object Permanence from Videos via Latent Imaginations

8. Loci-Segmented: Improving Scene Segmentation Learning

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

11. Inductive biases in deep learning models for weather prediction

13. Inductive biases in deep learning models for weather prediction

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

16. Efficient LSTM Training with Eligibility Traces

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

20. Generating Sparse Counterfactual Explanations For Multivariate Time Series


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