Public events
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Upcoming
An escape from the burdens of existence
Minimax-entropy neurosymbolic models
Probabilistic patient risk profiling with pair-copula constructions
The evolving science of AI evaluation
Previous
Graph neural networks: asymptotics and unbounded expressivity
Enabling AI systems to know when they don’t know: conformal prediction for uncertainty quantification and risk control
The Digitalisation Lecture scheduled for 30 September 2026 has been cancelled due to changes in the Norwegian Ministry of Digitalisation and Public Governance.
We will provide an update on the possibility of rescheduling the event as soon as more information becomes available.
Building Biology In Silico: Spiking Neural Networks as Windows into Disease
A Legitimacy Analysis
Computing attribution scores for classification in explainable AI
Perception, reasoning and planning with multimodal models
How aligned language models break
A Feminist Perspective
From logical inference to reasoning in vector spaces
Belief change and ontology repair: two sides of the same coin?
Towards machine learning models that know what they do not know
Optimizing decision-making for long-term outcomes without delay
A Critical Response to Claims of Artificial Intuition
Data thinning and beyond
On space folding by neural networks
Reasoning under uncertainty with subjective logic
What do we mean when we use those concepts?
Inverse Inverse Reinforcement Learning