3 citations · 3 across the 3 of their papers we have counts for
3 papers
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification
Nikolaj T. Mücke, Sander M. Bohté, Cornelis W. Oosterlee
In Data Assimilation, observations are fused with simulations to obtain an accurate estimate of the state and parameters for a given physical system. Combining data with a model, h…
Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements
Robin Weiler, Matthias Brucklacher, Cyriel M. A. Pennartz +1
To make sense of their surroundings, intelligent systems must transform complex sensory inputs to structured codes that are reduced to task-relevant information such as object cate…
A Taxonomy of Recurrent Learning Rules
Guillermo Martín-Sánchez, Sander Bohté, Sebastian Otte
Backpropagation through time (BPTT) is the de facto standard for training recurrent neural networks (RNNs), but it is non-causal and non-local. Real-time recurrent learning is a ca…