From Atoms to Possible Worlds: Probabilistic Inference in the Discrete-Continuous Domain KU Leuven
Life is uncertain, full of ambiguities. Paradoxically, only embracing stochasticity, not fighting randomness, lets us cut through the surrounding fog of noise and find meaning. Similarly, machines will only make sense of the world accepting its probabilistic nature.
This dissertation studies probabilistic artificial intelligence, a broad field of research. We will investigate probabilistic AI at three distinct conceptual levels, or ...