6 citations · 6 across the 1 of their papers we have counts for
3 papers · 1 filter
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato, Sindy Löwe, Andreas Geiger +1
It has long been known in both neuroscience and AI that ``binding'' between neurons leads to a form of competitive learning where representations are compressed in order to represe…
BISCUIT: Causal Representation Learning from Binary Interactions
Phillip Lippe, Sara Magliacane, Sindy Löwe +3
Identifying the causal variables of an environment and how to intervene on them is of core value in applications such as robotics and embodied AI. While an agent can commonly inter…
Rotating Features for Object Discovery
Sindy Löwe, Phillip Lippe, Francesco Locatello +1
The binding problem in human cognition, concerning how the brain represents and connects objects within a fixed network of neural connections, remains a subject of intense debate.…