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Matthias Karlbauer

2 accepted papers

2023

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

ICLR 2023poster

Our brain can almost effortlessly decompose visual data streams into background and salient objects. Moreover, it can anticipate object motion and interactions, which are crucial abilities for conceptual planning and reasoning. Recent object reasoning datasets, such as CATER, have revealed fundament…

2022

Composing Partial Differential Equations with Physics-Aware Neural Networks

ICML 2022spotlight

We introduce a compositional physics-aware FInite volume Neural Network (FINN) for learning spatiotemporal advection-diffusion processes. FINN implements a new way of combining the learning abilities of artificial neural networks with physical and structural knowledge from numerical simulation by mo…