Danielle Belgrave

24 papers A* 4A 2C 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Democratising Clinical AI through Dataset Condensation for Classical Clinical Models. CoRR Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Joshua Fieggen, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton
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`	Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs. CoRR Edward Phillips, Sean Wu, Soheila Molaei, Danielle Belgrave, Anshul Thakur, David A. Clifton
2025	J	`jnl`	Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates. CoRR Pafue Christy Nganjimi, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton, Anshul Thakur
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	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
2024	A*	`ed.`	Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. NeurIPS Amir Globersons, Lester Mackey, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub M. Tomczak, Cheng Zhang
2023	J	`jnl`	Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. Trans. Mach. Learn. Res. Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
2023	J	`jnl`	Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena
2023	J	`jnl`	Generative models improve fairness of medical classifiers under distribution shifts. CoRR Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal
2023	J	`jnl`	Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments. CoRR Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, Alice H. Oh, Alekh Agarwal, Danielle Belgrave, Nihar B. Shah
2022	J	`jnl`	Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. CoRR Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
2022	A*	`ed.`	Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. NeurIPS Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh
2022	—	`conf`	Causal Bandits without prior knowledge using separating sets. CLeaR Arnoud A. W. M. de Kroon, Joris M. Mooij, Danielle Belgrave
2022	—	`ed.`	Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 22 July 2022, Baltimore, Maryland, USA Healthcare AI and COVID-19 Workshop Peng Xu, Tingting Zhu, Pengkai Zhu, David A. Clifton, Danielle Belgrave, Yuanting Zhang
2020	J	`jnl`	Causal Discovery for Causal Bandits utilizing Separating Sets. CoRR Arnoud A. W. M. de Kroon, Danielle Belgrave, Joris M. Mooij
2020	J	`jnl`	Hide-and-Seek Privacy Challenge. CoRR James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2020	—	`conf`	Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2020	J	`jnl`	Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems. ACM Trans. Comput. Hum. Interact. Anja Thieme, Danielle Belgrave, Gavin Doherty
2020	J	`jnl`	Machine learning applications: reflections on mental health assessment and ethics. Interactions Anja Thieme, Danielle Belgrave, Akane Sano, Gavin Doherty
2020	A*	`conf`	Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention. CHI Prerna Chikersal, Danielle Belgrave, Gavin Doherty, Angel Enrique, Jorge E. Palacios, Derek Richards, Anja Thieme
2018	—	`conf`	Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. IPMU (3) Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida M. Pu, Fionn Murtagh, Danielle Belgrave, Robin M. Murray, Marta Di Forti
2017	C	`conf`	Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life. ICMLA Danielle Belgrave, Rachel Cassidy, Daniel Stamate, Adnan Custovic, Louise Fleming, Andrew Bush, Sejal Saglani