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cs.CV2025
Modeling Retinal Ganglion Cells with Neural Differential Equations
Kacper Dobek, Daniel Jankowski, Krzysztof Krawiec
This work explores Liquid Time-Constant Networks (LTCs) and Closed-form Continuous-time Networks (CfCs) for modeling retinal ganglion cell activity in tiger salamanders across thre…
cs.CV2025
Generative Learning of Differentiable Object Models for Compositional Interpretation of Complex Scenes
Antoni Nowinowski, Krzysztof Krawiec
This study builds on the architecture of the Disentangler of Visual Priors (DVP), a type of autoencoder that learns to interpret scenes by decomposing the perceived objects into in…