Danielle Belgrave

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Data Generation

Generative Model

Top Venues

ACM Trans. Comput. Hum. Interact.

Publications

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
Generative models improve fairness of medical classifiers under distribution shifts. CoRR (2023)
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
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR (2023)
Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, Alice H. Oh, Alekh Agarwal, Danielle Belgrave, Nihar B. Shah
Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments. CoRR (2023)
Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. Trans. Mach. Learn. Res. 2023 (2023)
Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. CoRR (2022)
Arnoud A. W. M. de Kroon, Joris M. Mooij, Danielle Belgrave
Causal Bandits without prior knowledge using separating sets. CLeaR (2022)
James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) (2020)
Anja Thieme, Danielle Belgrave, Gavin Doherty
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. 27 (5) (2020)
Anja Thieme, Danielle Belgrave, Akane Sano, Gavin Doherty
Machine learning applications: reflections on mental health assessment and ethics. Interactions 27 (2) (2020)
James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
Hide-and-Seek Privacy Challenge. CoRR (2020)
Prerna Chikersal, Danielle Belgrave, Gavin Doherty, Angel Enrique, Jorge E. Palacios, Derek Richards, Anja Thieme
Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention. CHI (2020)
Arnoud A. W. M. de Kroon, Danielle Belgrave, Joris M. Mooij
Causal Discovery for Causal Bandits utilizing Separating Sets. CoRR (2020)
Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida M. Pu, Fionn Murtagh, Danielle Belgrave, Robin M. Murray, Marta Di Forti
Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. IPMU (3) (2018)
Danielle Belgrave, Rachel Cassidy, Daniel Stamate, Adnan Custovic, Louise Fleming, Andrew Bush, Sejal Saglani
Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life. ICMLA (2017)