Kim Branson

14 papers A* 2A 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity.
IEEE J. Biomed. Health Informatics
Soheila Molaei, Anshul Thakur, Lei A. Clifton, Andrew A. S. Soltan, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2026 A* conf
Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling.
AAAI
Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton
2025 J jnl
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis.
npj Digit. Medicine
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
2025 J jnl
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.
IEEE Trans. Pattern Anal. Mach. Intell.
Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton
2025 A conf
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation.
AISTATS
Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025 J jnl
Multi-megabase scale genome interpretation with genetic language models.
CoRR
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
2025 A conf
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation.
AISTATS
Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025 J jnl
Sample Selection Bias in Machine Learning for Healthcare.
ACM Trans. Comput. Heal.
Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2025 J jnl
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals.
CoRR
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
2024 J jnl
Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
npj Digit. Medicine
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024 J jnl
Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
npj Digit. Medicine
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024 J jnl
Sample Selection Bias in Machine Learning for Healthcare.
CoRR
Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2022 A* conf
Neural graphical modelling in continuous-time: consistency guarantees and algorithms.
ICLR
Alexis Bellot, Kim Branson, Mihaela van der Schaar
2021 J jnl
Consistency of mechanistic causal discovery in continuous-time using Neural ODEs.
CoRR
Alexis Bellot, Kim Branson, Mihaela van der Schaar