Before we start thinking about (deep) generative modeling, let us consider a simple
example. Imagine we have trained a deep neural network that classifies images (x∈ ℤ D) of …

What sets artificial intelligence (AI) apart from other fields of science and technology is not
what it has achieved so far, but rather what it set out to do from the very beginning, namely …

In a high-risk sector like power systems, transparency and interpretability are key principles
for effectively deploying artificial intelligence (AI) in control rooms. Therefore, this paper …

How is it possible, my curious reader, that we can share our thoughts? How can it be that we
discuss generative modeling, probability theory, or other interesting concepts? How come …

Recent interest in the 'Large Language Models' of deep learning has led to widespread
conjecture that artificial general intelligence (AGI) is thereby imminent. At the other end of …

Large Language Models (LLMs) have revolutionized AI systems by enabling communication
with machines using natural language. Recent developments in Generative AI (GenAI) like …

We introduce an algebraic analogue of dynamical systems, based on term rewriting. We
show that a recursive function applied to the output of an iterated rewriting system defines a …

Abstract Language learning is a complex issue of interest to linguists, computer scientists,
and psychologists alike. While the different fields approach these questions at different …

A series of mathematical models of analogy-making are examined, exploring variations on a
neural-net model of memory, the Hopfield net. The models break elements on a 'canvas' …

The aim of this thesis is to argue against achieving Artificial General Intelligence (AGI)
revolving around (i) programs being insufficient to create humanlike intelligence due to their …