Solving Mixed Integer Programs Using Neural Networks. - Vinod Nair; Sergey Bartunov; Felix Gimeno; Ingrid von Glehn; Pawel Lichocki; Ivan Lobov; Brendan O'Donoghue; Nicolas Sonnerat; Christian Tjandraatmadja; Pengming Wang 001; Ravichandra Addanki; Tharindi Hapuarachchi; et al. (CoRR, 2020)

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs. - Nicolas Sonnerat; Pengming Wang 001; Ira Ktena; Sergey Bartunov; Vinod Nair (CoRR, 2021)

A Fine-Grained Analysis on Distribution Shift. - Olivia Wiles; Sven Gowal; Florian Stimberg; Sylvestre-Alvise Rebuffi; Ira Ktena; Krishnamurthy Dvijotham; Ali Taylan Cemgil (ICLR, 2022)

How fair is your graph? Exploring fairness concerns in neuroimaging studies. - Fernanda Ribeiro; Valentina Shumovskaia; Thomas Davies 001; Ira Ktena (MLHC, 2022)

Preface. - Alexander Cloninger; Timothy Doster; Tegan Emerson; Manohar Kaul; Ira Ktena; Henry Kvinge; Nina Miolane; Bastian Rice; Sarah Tymochko; Guy Wolf (TAG-ML, 2022)

Constrained Causal Bayesian Optimization. - Virginia Aglietti; Alan Malek; Ira Ktena; Silvia Chiappa (ICML, 2023)

Affinity-Aware Graph Networks. - Ameya Velingker; Ali Kemal Sinop; Ira Ktena; Petar Velickovic; Sreenivas Gollapudi (NeurIPS, 2023)

Differentially Private Diffusion Models Generate Useful Synthetic Images. - Sahra Ghalebikesabi; Leonard Berrada; Sven Gowal; Ira Ktena; Robert Stanforth; Jamie Hayes; Soham De; Samuel L. Smith; Olivia Wiles; Borja Balle (CoRR, 2023)

Generative models improve fairness of medical classifiers under distribution shifts. - 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 (CoRR, 2023)

Towards Generalist Biomedical AI. - Tao Tu 001; Shekoofeh Azizi; Danny Driess; Mike Schaekermann; Mohamed Amin; Pi-Chuan Chang; Andrew Carroll; Chuck Lau; Ryutaro Tanno; Ira Ktena; Basil Mustafa; Aakanksha Chowdhery; et al. (CoRR, 2023)

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. - Ryutaro Tanno; David G. T. Barrett; Andrew Sellergren; Sumedh Ghaisas; Sumanth Dathathri; Abigail See; Johannes Welbl; Karan Singhal; Shekoofeh Azizi; Tao Tu 001; Mike Schaekermann; Rhys May; et al. (CoRR, 2023)

Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. - Jannik Kossen; Catalina Cangea; Eszter Vértes; Andrew Jaegle; Viorica Patraucean; Ira Ktena; Nenad Tomasev; Danielle Belgrave (Trans. Mach. Learn. Res., 2023)

The Ethics of Advanced AI Assistants. - Iason Gabriel; Arianna Manzini; Geoff Keeling; Lisa Anne Hendricks; Verena Rieser; Hasan Iqbal; Nenad Tomasev; Ira Ktena; Zachary Kenton; Mikel Rodriguez; Seliem El-Sayed; Sasha Brown; et al. (CoRR, 2024)

Advancing Multimodal Medical Capabilities of Gemini. - Lin Yang; Shawn Xu; Andrew Sellergren; Timo Kohlberger; Yuchen Zhou; Ira Ktena; Atilla P. Kiraly; Faruk Ahmed; Farhad Hormozdiari; Tiam Jaroensri; Eric Wang; Ellery Wulczyn; et al. (CoRR, 2024)

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. - Virginia Aglietti; Ira Ktena; Jessica Schrouff; Eleni Sgouritsa; Francisco J. R. Ruiz; Alan Malek; Alexis Bellot; Silvia Chiappa (CoRR, 2024)

Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating. - Olivia Wiles; Chuhan Zhang; Isabela Albuquerque; Ivana Kajic; Su Wang 001; Emanuele Bugliarello; Yasumasa Onoe; Pinelopi Papalampidi; Ira Ktena; Christopher Knutsen; Cyrus Rashtchian; Anant Nawalgaria; et al. (ICLR, 2025)

Segmentation of the human tongue musculature using MRI: Field guide and validation in motor neuron disease. - Thomas B. Shaw; Fernanda L. Ribeiro; Xiangyun Zhu; Patrick Aiken; Saskia Bollmann; Steffen Bollmann; Jeryn Chang; Kali Chidley; Harriet Dempsey-Jones; Zeinab Eftekhari; Jennifer Gillespie; Robert Henderson; et al. (Comput. Biol. Medicine, 2025)

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications. - Yana Hasson; Pauline Luc; Liliane Momeni; Maks Ovsjanikov; Guillaume Le Moing; Alina Kuznetsova; Ira Ktena; Jennifer J. Sun; Skanda Koppula; Dilara Gokay; Joseph Heyward; Etienne Pot; et al. (CoRR, 2025)