2026

Graph neural networks: asymptotics and unbounded expressivity

Building Biology In Silico: Spiking Neural Networks as Windows into Disease

Computing attribution scores for classification in explainable AI

Perception, reasoning and planning with multimodal models

How aligned language models break

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

Data thinning and beyond

On space folding by neural networks

Reasoning under uncertainty with subjective logic

Inverse Inverse Reinforcement Learning

Efficient Likelihood-free Monte Carlo Sampling for Generalized Bayesian Inference Using Probabilistic Surrogate Loss

Simulation-based model selection for causal effect estimation

Shaping GNNs with dynamical systems

Using formal verification for text-to-SQL

Generalised mixed effects models for changepoint analysis of biomedical time series