Events

An escape from the burdens of existence

Graph neural networks: asymptotics and unbounded expressivity

Yi Yu 于怡 is Professor in Statistics and the Deputy Head of Department (Research) in the Department of Statistics, University of Warwick. She is interested in various aspects of high-dimensional and nonparametric statistics, with a recent interest in trustworthy AI related problems. She has worked in high-dimensional regression, differential privacy, change point analysis, statistical network analysis, nonparametric statistics and functional data analysis.

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?

Cassandra Durr is a PhD candidate at the STOR-i Centre for Doctoral Training at Lancaster University, UK. Her research focuses on non-linear system identification through equation discovery of physical systems, with an emphasis on epidemic modelling. Cassandra holds a bachelor’s degree in Actuarial Sciences and postgraduate degrees in Mathematical Statistics, and Machine Learning & Artificial Intelligence.

The research kitchen serves as a platform to discuss various aspects of synthetic data with an interdisciplinary group of researchers at Integreat and invited speakers.