CCAIM Faculty members will present 12 papers when Fortieth International Conference on Machine Learning (ICML 2023) takes place from 23 – 29 July, one of the most prominent annual gatherings of researchers, globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in a wide array of fields like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.
Of these papers, the Weller Group‘s paper on Simplex Random Features has been selected for oral presentation.
Matching its publication total from the previous year, the Cambridge Centre for AI in Medicine (CCAIM) is at the forefront of research in deep learning. The papers – from Prof Mihaela van der Schaar, Prof Pietro Liò, and Prof Adrian Weller – cover a number of the Centre’s key research areas, including causal deep learning, clinical trials, graphs, interpretable AI, inference, treatment effect estimation, synthetic data and deep learning for tabular data.
Together, our researchers continuously explore and create revolutionary technologies that will shape the future of healthcare, change clinical work, and improve patient outcomes.
Titles and authors for all 12 papers are given below:
Further details (abstracts and links) about the papers will be released closer to the date.