Manchester AI Fun team attends NeurIPS conference

With The University of Manchester's strategic investment in fundamental AI research and translation, its strengths in AI fundamental (AI Fun) research are growing. And AI Fun academics in Manchester's Department of Computer Science and Department of Physics and Astronomy recently made a notable presence at the NeurIPS Conference 2022 in New Orleans, USA. They included Professor Samuel Kaski , Dr Wei Pan , Dr Micah Bowles, Dr Mauricio A Alvarez , Dr Tingting Mu and Dr Mingfei Sun, and activities included workshop organisation, invited talks and poster presentations. Professor Kaski's paper 'Differentiable User Modelling' was awarded best paper at the 'Human in the Loop Learning' workshop. Find out more about the workshops and papers via the links below: - Human in the Loop Learning (HiLL) Differentiable User Modelling Gaussian Processes, Spatiotemporal Modelling, and Decision-making Systems Multi-Mean Gaussian Processes: A novel probabilistic framework for multi-correlated longitudinal data Machine Learning and the Physical Sciences Conference papers presented by Manchester AI Fun academics at NeurIPS 2022 included: - Adjoint-aided inference of Gaussian process driven differential equations Deriving semantic class targets for the physical sciences Symmetry-induced disentanglement on graphs De-randomizing MCMC dynamics with the diffusion Stein operator Provably expressive temporal graph networks Modular flows: Differential molecular generation HAPNEST: An efficient tool for generating large-scale genetics datasets from limited training data More trustworthy Bayesian optimization of materials properties by adding humans in