Bilateral AI is an Austrian Cluster of Excellence developing Broad AI by combining symbolic and sub-symbolic AI. Discover research, news and events.

A NeurIPS-endorsed conference in Europe held in Copenhagen, Denmark

Causality in time series can be difficult to determine, especially in the presence of non-linear dependencies. The concept of Granger causality helps analyze potential relationships between variables,...

Humans can leverage both symbolic reasoning and intuitive reactions. In contrast, reinforcement learning policies are typically encoded in either opaque systems like neural networks or symbolic…

Most work on causality in machine learning assumes that causal relationships are driven by a constant underlying process. However, the flexibility of agents' actions or tipping points in the environme...