3 papers
cs.LG2021
Latent Event-Predictive Encodings through Counterfactual Regularization
Dania Humaidan, Sebastian Otte, Christian Gumbsch +2
A critical challenge for any intelligent system is to infer structure from continuous data streams. Theories of event-predictive cognition suggest that the brain segments sensorimo…
cs.LG2020
Fostering Event Compression using Gated Surprise
Dania Humaidan, Sebastian Otte, Martin V. Butz
Our brain receives a dynamically changing stream of sensorimotor data. Yet, we perceive a rather organized world, which we segment into and perceive as events. Computational theori…
cs.LG2018
Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture
Martin V. Butz, David Bilkey, Dania Humaidan +2
We introduce REPRISE, a REtrospective and PRospective Inference SchEme, which learns temporal event-predictive models of dynamical systems. REPRISE infers the unobservable contextu…