2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2020
A Neural-Symbolic Framework for Mental Simulation
Michael Kissner
We present a neural-symbolic framework for observing the environment and continuously learning visual semantics and intuitive physics to reproduce them in an interactive simulation…
cs.CR2019★ 2 cited
Hacking Neural Networks: A Short Introduction
Michael Kissner
A large chunk of research on the security issues of neural networks is focused on adversarial attacks. However, there exists a vast sea of simpler attacks one can perform both agai…
cs.CV2019★ 1 cited
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks
Michael Kissner, Helmut Mayer
Many current methods to learn intuitive physics are based on interaction networks and similar approaches. However, they rely on information that has proven difficult to estimate di…