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Found 3 papers, 1 papers with code
Latent Event-Predictive Encodings through Counterfactual Regularization
A critical challenge for any intelligent system is to infer structure from continuous data streams.
Fostering Event Compression using Gated Surprise
Here, we introduce a hierarchical, surprise-gated recurrent neural network architecture, which models this process and develops compact compressions of distinct event-like contexts.
Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture
We introduce REPRISE, a REtrospective and PRospective Inference SchEme, which learns temporal event-predictive models of dynamical systems.
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