colloquium – 14 April 2022
On the use of Bayesian statistics for chromatography and mass spectrometry: dealing with big data Read More ›
colloquium – 29 March 2022
Catalogue curation, likelihood misspecification and dataset shift: challenges for Bayesian deep-learning in radio astronomy Read More ›
colloquium – 15 March 2022
Interpretability and Out of Distribution Generalization in Deep Predictive Models Read More ›
colloquium – 1 March 2022
Machine Learning of Combinatiorial Rules in Mechanical Metamaterials Read More ›
colloquium – 7 February 2022
Simulation-Based Inference for Neuroscience and Beyond Read More ›