Kim Branson

According to our database, Kim Branson authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals.

Xiao Gu, Wei Tang, Jinpei Han, Veer Sangha, Fenglin Liu, Shreyank N. Gowda, Antônio H. Ribeiro, Patrick Schwab, Kim Branson, Lei A. Clifton, Antonio Luiz P. Ribeiro, Zhangdaihong Liu, David A. Clifton

CoRR, July, 2025

Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.

Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Multi-megabase scale genome interpretation with genetic language models.

Frederik Träuble, Lachlan Stuart, Andreas Georgiou, Pascal Notin, Arash Mehrjou, Ron Schwessinger, Mathieu Chevalley, Kim Branson, Bernhard Schölkopf, Cornelia van Duijn, Debora S. Marks, Patrick Schwab

CoRR, January, 2025

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis.

Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton

npj Digit. Medicine, 2025

Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation.

Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation.

Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton

npj Digit. Medicine, 2024

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton

npj Digit. Medicine, 2024

Sample Selection Bias in Machine Learning for Healthcare.

Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton

CoRR, 2024

2022

Neural graphical modelling in continuous-time: consistency guarantees and algorithms.

Alexis Bellot, Kim Branson, Mihaela van der Schaar

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Consistency of mechanistic causal discovery in continuous-time using Neural ODEs.

Alexis Bellot, Kim Branson, Mihaela van der Schaar

CoRR, 2021